Bioarchaeology International Volume 7, Number 4: 307–327 DOI: 10.5744/bi.2022.0034 Copyright © 2023 University of Florida Press Race, Population Affinity, and Mortality Risk during the Second Plague Pandemic in Fourteenth- Century London, England Rebecca Redfern,a,b* Sharon N. DeWitte,c Joseph T. Hefner,d and Dorothy Kime aMuseum of London, London, United Kingdom of Great Britain and Northern Ireland bSchool of History, Classics, and Archaeology, Newcastle University, Newcastle upon Tyne, United Kingdom of Great Britain and Northern Ireland cInstitute of Behavioral Science and Department of Anthropology, University of Colorado, Boulder, Boulder, CO, USA dDepartment of Anthropology, Michigan State University, East Lansing, MI, USA eEnglish, Brandeis University, Waltham, MA, USA * Correspondence to: Rebecca Redfern, Museum of London, Centre for Human Bioarchaeology, 150 London Wall, London EC2Y 5HN, United Kingdom of Great Britain and Northern Ireland. E- mail: rredfern@museumoflondon . org . uk ABSTRACT We investigate whether hazards of death from plague and physiological stress at a fourteenth- century plague cemetery (Royal Mint, London) differed between populations using N = 49 adults whose affiliation was estab- lished using macromorphoscopic traits. Compared to a nonplague cemetery (N = 96), there was a greater pro- portion of people of estimated African affiliation in the plague burials. Cox proportional hazards analysis revealed higher hazards of death from plague for those with estimated African affiliation. There were higher rates of lin- ear enamel hypoplasia in those with estimated African affiliation, but this finding is not statistically significant. These results provide the first evidence that hazards of plague death were higher for people of estimated African affiliation compared to other affiliations, possibly because of existing inequalities, in addition to migration (free or forced) outcomes. These findings may reflect premodern structural racism’s devastating effects. Keywords: Second Plague Pandemic; mortality risk; population affiliation Investigamos si los riesgos de la muerte resultando de la peste y estrés fisiológico en un cementerio de la peste del siglo XIV (Royal Mint, Londres) son diferente entre poblaciones de adultos (N = 49) quienes afiliación estu- vieron establecido utilizando rasgos macromorfoscópicos. En comparación con un cementerio no asociado con la peste (N = 96), había una proporción más grande de gente estimado tener afiliación africana en los entierros asociados con la peste. Análisis de riesgos proporcional de Cox indicaron que había un riesgo de muerte de la plaga más alto por individuos estimados tener afiliación africana. Había índices más grandes de hipoplasia de esmalte dental en individuos de afiliación africana, pero el nivel estadístico no fue significativo. Los resultados demuestran la primera evidencia que los riesgos de la muerte de la peste fueron más altos por gente de afiliación africana en comparación a otras afinidades, posiblemente como resultado de disparidades sociales en combi- nación con los efectos de migración (libre o forzada). Los resultados se pueden reflejar las consecuencias devas- tadoras del racismo estructural premoderno. Palabras claves: Segunda Pandemia de la Plaga; riesgo de mortalidad; affiliacion poblacional Received 19 November 2022 Revised 29 April 2023 Accepted 19 August 2023 Population Affinity and Plague in Fourteenth-Century London308 The Second Plague Pandemic’s (SPP) first outbreak in the mid- fourteenth century A.D., commonly referred to as the Black Death, killed many millions of people across Eurasia and Africa and was one of the most cat- astrophic disease events the world has ever experi- enced (Ziegler 2016). The SPP continued in the form of outbreaks and isolated cases of plague for centuries afterward. Paleogenetic analysis of human remains from across Europe and Asia has established that the SPP was caused by Yersina pestis, the bacterium that continues to cause plague globally (Bos et  al. 2011, 2012; Gourvennec 2019; Haensch et  al. 2010; Kacki et al. 2011; Keller et al. 2019; Schuenemann et al. 2011; Spyrou et al. 2016, 2019, 2022; Willmott et al. 2020). Extensive land and sea trade networks promoted the rapid spread of the initial wave of the SPP (Byrne 2012; Ziegler 2016); some modeling suggests the disease traveled between 1.5 and 6 km a day (Christakos et al. 2005). Through dramatic depopulation, the fourteenth- century plague also wrought significant political and economic changes across Europe (Horrox 1994), and it resulted in many violent acts against minority groups, including the racial- religious cleansing of Jewish com- munities (Colet et al. 2016; Nirenberg 2015; Rambaran- Olm 2020). The pandemic led to increased tensions between different communities, status groups, and religions, although these detrimental divisions and structural inequalities (i.e., racism) already existed and had been rising for many years, in part due to the Little Ice Age’s (1300– 1870 A.D.) successive waves of famine and climatic instability (Fagan 2000; Hahn 2001; Heng 2018a; Ziegler 2016). Consequently, the pandemic affected countries whose populations were already compromised, as evidenced by the study of medieval human remains from across Europe (De- Witte 2015; Gamble et al. 2017; Scott and Hoppa 2019; Yaussy et al. 2016, 2018). Despite some medieval primary sources suggesting the first wave of the SPP killed almost everyone it in- fected (Cohn 2008), bio archae ol o gi cal research has provided evidence that, in at least some contexts, it was not an indiscriminate killer. For example, in Lon- don, individuals with evidence of physiological stress- ors experienced prior to the epidemic, including those associated with developmental disruption during childhood, were more likely to die during the 1348– 1350 A.D. outbreak compared to age- peers without evidence of such previous exposure to stress (DeWitte 2009, 2010a, 2010b, 2014a, 2014b, 2014c, 2014d; DeWitte and Hughes- Morey 2012; DeWitte and Wood 2008; Godde et  al. 2020). Analysis of individuals who died in a plague in the latter half of the fourteenth century, likely the 1361 A.D. plague, which killed an estimated 10% to 30% of the English population, indicates a rel- atively high hazard of dying for individuals who were frail because of previous exposure to physiological stressors and those who were nutritionally compro- mised (DeWitte and Kowaleski 2017; DeWitte and Wissler 2022). Bio archae ol o gi cal research on the SPP has not yielded evidence of sex difference in plague mortality (Castex and Kacki 2016; DeWitte 2009). However, evidence from historical documents indicates a sex- selective effect (i.e., higher numbers of female deaths compared to nonplague years) during SPP outbreaks up through 1450 A.D. in the Netherlands (Curtis and Roosen 2017). Historical documents also yield evidence that mortality during the SPP was worse for poorer people than for the wealthy in some contexts (Alfani and Bonetti 2019; Cummins et al. 2016; DeWitte and Kowaleski 2017; Galanaud et al. 2020). In this way, the SPP documentary evidence re- veals how gender and class categories (structural inequality) compound harm in populations. Re- search on premodern SPP in Sub- Saharan Africa has also revealed a substantial effect on populations and communities, especially in late medieval West Africa (Chouin 2018a, 2018b; Green 2018; see also Gomez 2020). There is thus existing evidence that medieval plague mortality risks varied along both biopolitical and sociocultural dimensions. However, to date, no bio archae ol o gi cal research has addressed the po- tential effects of structural racism, despite primary source evidence showing that northern Europe had a diverse and racialized population during this period (Heng 2018a; Ray 2007; Williamson 2014). To further clarify the ways in which biosocial factors affected risks of mortality during the SPP, our study is the first to combine osteological evidence for population affiliation with skeletal data on sex, age- at- death, and physiological stress in human remains exca- vated from a London, fourteenth- century, SPP burial ground. We test the hypothesis that people who would have been identified as belonging to popula- tion affiliations other than white European and specifically connected to an African geographical affiliation, and who were therefore potentially racial- ized as Black in life or suffered the stressors associ- ated with anti- Blackness, migration (forced or otherwise), and unfreedoms (at demise or over a life- time), faced higher risks of death compared to white Europeans during the SPP. This is a premodern ex- ample of current discussions concerning race and COVID– 19 (Columbia University 2020; Ogedegbe et al. 2020). There were other groups in premodern England’s racialized landscape, including the Welsh, Irish, Jews, and Muslims. In future population dis- cussions, we can examine the compounded harm via intersectionality of Black Jews and Black Muslims— although this cannot be confirmed for medieval Redfern et al. 309 English Jewish cemeteries, because those human remains are reburied, often immediately after exca- vation (e.g., Historic England 2020; The Jewish Chronicle 2019; see also Belcastro and Mariotti 2021; Colomer 2014; Gleize et al. 2016). Currently, because our sites were Christian burial grounds, they do not yield any evidence for Black Muslims, although their presence may have been erased through being given a Christian burial treatment. Nevertheless, one can consider the further compounded harm of intersectionality in relation to anti- Blackness and racio- religious structural racism in these cases in future examinations of Muslim grave sites. Our arti- cle focuses on anti- Black structural racism within Christian cemeteries, racial capitalism’s earlier gene- alogies, and medieval London as a location to high- light how a substantial community can be erased from history. Autoethnography and Our Situatedness An article about medieval bioarchaeology that dis- cusses race, racism, pre- 1500 A.D. medieval England, an earlier genealogy related to transatlantic chattel slavery, the archive of slavery, and a global pandem- ic’s effect on racialized populations of varied states of unfreedom requires a self- reflexive, critical analysis of its methodologies and commitments, especially as the concurrent pandemics of COVID- 19 and global anti- Blackness devastate racialized communities in the 2020s. Black Lives Matter. Black Methodologies Matter. A discussion of decolonization and Black feminist theoretical praxis often begins with an autoethnogra- phy (Brown- Vincent 2019; Franklin 2001; Tuhiwai Smith 2022). This has been advocated as a necessary component in an antiracist, Black feminist, and decol- onized approach to historical bioarchaeology (see Watkins 2020:19). We are keenly aware of the twinned whiteness of both anthropology and medieval studies. This double- whiteness has also meant a lack of Black researchers and “knowledge producers” in our fields. We hope to prioritize the methodologies of Black feminist ar- chaeology and the interdisciplinary work we bring to bear on this archive (Watkins 2020:14). In addi- tion, following “Archaeologies of the Heart,” we emphasize our commitment “to position . . . work consciously and to practice a rigorous self- reflexivity in its conduct” (Supernant et al. 2021:6). We believe that our work is about “generating multiple perspec- tives on truth” (Supernant et  al. 2021:7), especially how our interdisciplinary work crosses academic si- los, enabling a “pluralistic approach” to a myriad of historical truths and methodological discoveries (Supernant et al. 2021:7). Materials and Methods Medieval London: people and plague London provides an ideal context to examine struc- tural racism’s possible effects on risk of death during the SPP for two reasons: it contained a heterogenous population mix, and archaeological excavations have yielded skeletal samples with incredible chronological control, enabling a study of a relatively large sample of people known to have died during SPP (Grainger et al. 2008; Pfizenmaier 2016). London, medieval En- gland’s most important urban center, was home to the country’s most powerful political, economic, and re- ligious institutions. Connected to the world by its river port, which brought goods and people directly into fourteenth- century London, it was home to an esti- mated 80,000 people (Barron et  al. 2017; Thrupp 1989). Primary source examination, from 1336– 1584 A.D., reveal nearly 18,000 “foreigners” had come to London from India, Greece, Iceland, and mainland Europe (i.e., Italy) (Lutkin 2016); note that information about appearance (i.e., skin color) was not recorded in the source material. The majority were temporary res- idents, but mercantile and richer migrants stayed for several years and sometimes were accompanied by their entire households, which included free and enslaved servants and illegitimate children (Laufen- berg 2016; Lutkin 2016; Thrupp 1957, 1989). Many enslaved people were forced into bondage in Italian and southern Spanish markets and originated from Sub- Saharan and northern Africa or Eastern Europe (Guidi- Bruscoli 2016; Hernæs and Iversen 2002; Miller 2002; Phillips 1985, 2013). The primary source and bio archae ol o gi cal evidence reveal that several popu- lation affiliation groups and mixed- race people lived in London, some of whom who had spent their early childhood in Britain, suggesting that they were (at least) second- generation migrants (Kendall et  al. 2013; Redfern and Hefner 2019; Richard of Devizes 1192). Before the plague reached England in 1348 A.D., ex- tensive preparations had been made to cope with the epidemic. This included the creation of two emergency burial grounds— East Smithfield (close to the Tower of London) and West Smithfield, positioned further north in the city (Grainger et al. 2008; Pfizenmaier 2016). The plague reached London in fall 1348, result- ing in 60% of the city’s population dying, until it waned in 1351 A.D. (Byrne 2012; Horrox 1994; Sloane 2011). Sloane (2011) has shown that the city’s parish Population Affinity and Plague in Fourteenth-Century London310 cemeteries (numbering over 100) buried the majority of plague victims. However, these cemeteries mostly have not been divided into pre- or postplague phases, meaning that the emergency burial ground popula- tions remain unique. Medieval London: race, anti- Blackness, and medieval England This article includes data and tools that have been rightly critiqued for their role in perpetuating systemic racism, specifically the use of macromorphoscopic traits (Bethard and DiGangi 2020; contra. Stull et  al. 2021). We acknowledge that any methodological over- haul and/or new theorized praxis is a process and that whiteness must be decentered to achieve this. As two white anthropologists, a white bioarchaeologist, and one woman of color medievalist, we must de- center our work. We choose to foreground contexts and complex- ities, as well as white supremacist genealogies in forensic anthropology and medieval studies, as a form of meth- odological praxis as process. In light of critique, we used five traits with known heritability: anterior nasal spine, interorbital breadth, nasal aperture width, infe- rior nasal aperture, and nasal bone contour (Plemons 2022). Black feminist praxis and recent antiracist work that utilizes historical context to analyze a site informs our research (Barnes 2021). As Cho and colleagues (2021) advocate, we use the terms population affinity and mixed race, mindful that “racism is a social real- ity that can affect biology” (Cho et al. 2021). We also acknowledge the contextual nuances and specific de- tails that must be discussed when working in race and science. As presented in Kim and Coles (2021:4– 12), we understand that structural racism is built into science and agree that studies of the past must be specific to their temporality and location. In this section, we contextualize the distinct speci- ficities of time, geography, and conditions in relation to medieval England and race that is different from other European geographies. Despite scholars docu- menting the multiracial scene in early modern Lon- don (Habib 2008; Hall 1995) or more recently on an early modern English ship (Scorrer et al. 2021), the im- age of a white medieval England persists. This white nostalgia is rooted in the same white supremacist ideology that has fed contemporary violence. Like- wise, medieval studies scholarship has boosted this “preracial” version of the premodern past that has al- lowed medieval cultures, societies, writers, and pow- erbrokers to hide behind “white innocence,” when the truth is that race (structural racism) was invented, refined, and rehearsed in medieval England (Kim 2021). Heng (2018a:3) explains that medieval race is “a structural relationship for the articulation and man- agement of human differences, rather than substantive content . . . [with] religion— the paramount source of authority in the medieval period— could . . . for in- stance, [subject ‘detested’ people] to a political theol- ogy that could biologize, define, and essentialize an entire community as fundamentally and absolutely different.” Our definition of race centers the Black fem- inist material turn (biopolitical and sociocultural)— dependent on location and temporality (Spillers 1987, 2003; Weheliye 2014). Although many historians have argued that using “race” to describe the medieval phe- nomena of structural racism is anachronistic, others in premodern critical race studies, as well as critical race theorists, have in the past several decades made it emphatically clear that the term to use is race rather than anything else (Heng 2021; Kim 2021; Mills 2020; among others). Later medieval England (c. 1100– 1500 A.D.) inher- ited, through its written and spoken culture, narratives of a racialized hierarchy connected to geographic space and climate, ideas that can be traced back to Hip- pocrates (Kennedy et al. 2013:35– 41). Although Hip- pocratic work was not in circulation, its vision of a geographic/climatological organization of racial hier- archy is present in cartography (e.g., the Hereford Map, 1300 A.D.), which centers and gives more room to European places and territories. Medieval English white Christianity based its racialization on “popula- tion affinity” connected to organizing people by climatological/geographic racial difference, meaning that medieval English anti- Blackness included epider- mal racialization (Heng 2018a:180– 256; Whitaker 2019). England had already begun practicing how to organize, categorize, and hierarchize nonhegemonic white Christian groups because it was an early racial state (Heng 2018a, 2018b). The English state, as part of a larger colonial project in the twelfth and thirteenth centuries, also racialized the Welsh and Irish in the British Isles, and Muslims in its Eastern Mediterra- nean crusader colony (Acre, lost in 1291 A.D.), using many of the same Orientalist tropes flung at both real and imagined Islamic foes (Heng 2018a; Lumbley 2019; Rajabzadeh 2019). Structural racism had different ter- rains and archives for different groups. In the case of the English racio- religious Jewish and Islamic differ- ence, we can identify their populations by how they were buried in grave sites and, for the pre- 1290 Jewish community in England, a small Anglo- Hebrew doc- umentary archive (Olszowy- Schlanger 2015). For the Welsh and Irish who the English colonized in the twelfth and thirteenth centuries, we have substantial documentary archives of how the subaltern racialized populations spoke back to English colonial hegemony. Redfern et al. 311 In contrast, Black people did not have emic docu- mentation or viewpoints from which we hear directly about their lives or racial formations, or else the docu- mentation has been completely whitewashed, because the white imaginary defined medieval England as a white population space. Concomitantly, hundreds of archives were destroyed during the Dissolution (1536– 1540 A.D.) (Kim 2022), and medieval scholarship has deliberately whitewashed the presence of Black people in archives. We have two examples: one methodologi- cal and one documentary (from the medieval English literary canon) that demonstrate the consequences for the documentary and archaeological record. Across Britain and Europe, the majority of osteo- archaeological professional recording standards do not record population affiliation or ancestry (e.g., Rose et  al. 1991), due to a combination of factors: it was only recently being introduced in British standards (created 2004) in 2017 (Mitchell and Brickley 2017), not all bioarchaeology/human osteology/paleopathology courses teach these methods, and many archaeo- logical contractors have not revised their standards for over a decade. Consequently, the white imaginary, which assumes a de facto white population, is used as the “empirical” evidence for a population discussion of all medieval European human remains, especially burial grounds (contra. Redfern and Hefner 2019, 2021; Our Migration Story n.d.; York Archaeology 2019). Therefore, the paucity of population affiliation data means that there is no “empirical” evidence for a white- only population in medieval England. Instead, immense work must be done to debunk the white su- premacist scholarly and methodological structures that have upheld and kept the white racial imaginary in place for centuries and is central to white medie- val “heritage politics” in contemporary far- right poli- tics (Christmas 2019). This has affected our analysis of the English docu- mentary record. It is also a record in white scholarly methodologies, ontologies, and whitewashing. The white imaginary has trained scholars to skip over what is so plain to see. The work of fourteenth- century Lon- don poet Geoffrey Chaucer has been the subject of scholarship for centuries, and his Canterbury Tales has been a British colonial school text (Viswanathan 2014). Yet, only recently has race been discussed with respect to Chaucer’s Cook’s Tale. This tale, which de- scribes an apprentice cook’s (named Perkyn Rev- elour) London life, involves gambling, sex workers, and occasional prison stints. Revelour is physically described as: “Broun as a berye, a propre short felwe/ With lokkes blake ykembd ful fetisly” (Brown as a berry, a proper short fellow/ With black locks combed elegantly) (San Marino, Huntington Library MS Elles- mere 26 C9, f. 46v– 47v). Hsy (2021:380) is the first to discuss Revelour in relation to race— “a racialized brownness”— using the potential of “racial specula- tion.” The white gaze is so embedded that scholars see the darker skin in the Ellesmere manuscript’s Cook’s portrait as evidence of disease or low social class (Sweany 2018). There are over three dozen medieval English manuscripts that attest to the Black Cook. This is an example of a specific documentary archive in which all scholarship has skipped over the Cook as a Black servant in fourteenth- century London. Earlier Chaucer and race scholars had to temper their argu- ments, because the “empirical” population evidence upheld the white racial imaginary of a white medie- val England (Hsy 2021; Whitaker 2019). Recording population affiliation would have a cascading and seis- mic effect in scholarship, prompting a reassessment of medieval European primary sources. Osteological data will allow medieval scholars to say that these Black men, women, and children, who have been re- corded, are not a fantasy or just possibilities. Such data also would reveal an earlier start to England’s adop- tion and practice of racialized unfreedoms (Fuentes and Rouse 2016; Morgan 2021; Otelle 2021). Although medieval England’s race technology was mutable, biopolitical, and sociocultural, English white Christian hegemony saw racial difference as im- mutable and in the blood. Anyone who was marked visually or embodied as originating outside of Europe, particularly if they fitted a “Black Ethiopian” descrip- tion, would have been racialized. We identify “mixed- race” people as racialized based on what critical race legal theorists would identify as miscegenation laws appearing in the Fourth Lateran Council’s Canon 68 (1215 A.D.). This ruling specifically forbade Christians from forming sexual relationships with Jews or Mus- lims due to concerns about mixed- race/religious chil- dren (Harris 1993:1739– 1740; Heng 2018a:76– 77). Black feminist methodology The Royal Mint site, in relation to the effects of pan- demic disease and population affiliations, offers us an insight into medieval racial necropolitics and struc- tural violence. As can be seen in COVID- 19 pandemic data, there is a clear correlation between structural violence, particularly as it pertains to race, and dis- proportionately higher rates of mortality among Global Majority communities (Flagg et al. 2020). The effects of structural racism can be found in ar- chaeological data and health disparities observed in human remains (Nystrom 2014:756– 766). To do justice to the human remains in our study, we foreground the work of Black feminist archaeology. Battle- Baptiste (2016:70) suggests this “takes into account the dis- advantage of how these aspects of identity (primarily Population Affinity and Plague in Fourteenth-Century London312 race and gender) act as a doubled (and with class a triple) form of oppression” (see Franklin 2001:115– 116). This sits alongside the work of Hill Collins (2019), Cren- shaw (1991, 1989), and the Combahee River Collective (Taylor 2017) about intersectionality. We follow Hart- man’s (1997, 2007) work on the archive of slavery and McKittrick (2006, 2014, 2015) on Black geography to center Black feminist archive and data methodologies. Although much work done in Black feminist archaeol- ogy focuses on North American post- 1492 A.D. sites, we apply these methods to London’s fourteenth- century cityscape. The Royal Mint site also reorients our understand- ing of the transatlantic chattel slavery archive’s begin- nings. Likewise, the discussion of structural racism and pandemic necropolitics (Mbembé and Meintjes 2003) remains an ongoing lens of analysis. We bring these multidisciplinary strands together in order to, in Battle- Baptiste’s (2016:67) words, “create a purpose- fully coarse and textured analytical framework.” Our framework pulls from Black feminist work in the humanities, social sciences, and sciences. We con- textualize the Royal Mint site as part of the archive of slavery, as well as what Wynter (1990) and McKittrick (2006) theorize as “demonic grounds,” and to see me- dieval London as a Black diaspora geography: “de- monic grounds . . . are not simply identifying categories of difference, absence, and the places and voices of black women and/or black feminism; they also outline the ways in which this place is an unfinished and there- fore transformative human geography story” (Mc- Kittrick 2006:xxvi). Hartman (2008:2) remarks upon the “act of chance or disaster” that allowed us to even have a sentence, a phrase to mark Black women’s presence in the archival records, when the standard encounter with the archive is silence, erasure, and “invisibility.” Given that a percentage of those killed by London plague epidemics were enslaved or formerly enslaved people, our Black feminist archaeology must first ad- dress the archive of slavery. Our archive, their remains, are precisely what Hartman (2008:2) characterizes as a “death sentence, a tomb, a display of the violated body, an inventory of property.” We are reckoning with the impossibility of discussing premodern Black lives in any way that is not about pain and death. Their remains, “the violence that deposited these traces in the archive” (Hartman 2008:2), are our evidence and data points. This is why we must think through Black feminist archaeology to consider other ways to tell these narratives. McKittrick (2014:17) addresses the archive of slav- ery, Black men and women as data, by calling atten- tion to “the mathematics of the unliving.” What McKittrick (2014:16) underlines is that these bodies (our osteological data) become an “object- commodity” in which there is no way to give life or to tell these sto- ries. “If the source of blackness is death and violence,” they argue, “the citation of blackness— the scholarly stories we tell— calls for the repetition of death and violence. . . . Put differently, historically present anti- black violence is repaired by reproducing knowledge about the black subjects that renders them less than human” (McKittrick 2014:17– 18). This is the method- ological knot we must unravel. Hartman (2008:11) argues for a methodological shift to address this issue: what they call “critical fabula- tion.” The purpose here is not “to give voice to the slave, but rather to imagine what cannot be verified, a realm of experience which is situated between two zones of death— social and corporeal” (Hartman 2008:12, 2019). McKittrick (2014:25) argues that Black studies is the method to work successfully on demonic grounds pre- cisely “because the mathematics of blackness and white supremacy are seemingly knowable (because ac- countable and counted) and always laden with a cha- otic uncertainty.” Developing that concept, Flewellen (2017:73) proposes that “demonic grounds then be- come spaces that literally create new conceptualiza- tions of being, a possessed form of being that cannot be knowable, yet act as a fruitful space for exploration and knowledge production, there by re- presenting hu- man geography.” Designating fourteenth- century London as a demonic ground allows us to reexamine our data to address these different possibilities. The pandemic burial grounds are a form of Black spatial geography and especially a matter of Black di- aspora. As Watkins (2020:20) explains, the works of Black feminist biopolitics and race “discuss racializ- ing assemblages as key vehicles through which biocen- tricity is reinforced” and “involve[s] sociopolitical processes that discipline humanity into categories, such as human, not quite human, and nonhuman.” Our approach aligns with this critical race genealogy: the biopolitical that thinks through racialized assemblages. Lastly, Black feminist methodology asks that this work be a collaboration with a community of stake- holders as a form of social justice and an extension of Black feminist autoethnography. Watkins (2020:23) builds on the three- pillar structure advocated by Blakey (1991): (1) that “scientific investigation is not an objective or passive practice”; (2) that “decolonized study of human biology should readily contribute to broader, interdisciplinary investigations of human conditions and disparities”; and (3) “the explicit rec- ognition of human responsibility in the production of scientific knowledge.” We plan to bring these methods into our future work. There are no UK projects similar to Blakey’s (2020) work at the New York African Burial Ground, as medieval and later burial grounds were not separated by race but rather by religious tradition, and Redfern et al. 313 archaeological contractors do not consistently record or report population affiliation data (see Redfern and Hefner 2019). But we agree with Franklin et al. (2020) that related communities must be collaborators and partners in archaeological practice. We intend to keep accountable to these larger methodological goals— we believe the recent work of Finding Ceremony (https:// www . findingceremony . com/) is an excellent example of descendant community-centered work. Skeletal samples The individuals in this study are curated by the Mu- seum of London. The plague victims (n = 49) included in this study were excavated from the Royal Mint site (London) (MIN86) in the 1980s and derive from two phases of burial at the site (Figs. 1– 2). The first phase is the East Smithfield cemetery (1348– 1350 A.D.), a planned emergency burial ground whose creation and use is recorded in a number of primary sources, with dates supported by coins from a purse found during excavation of the inhumations (Grainger et al. 2008). Plague victims from the City were buried there with care and respect in grave rows or previously prepared mass burial trenches. Although the names of some people buried at the cemetery are known from their wills, which stipulated their place of internment, none can be associated with an individual skeleton (Grainger et al. 2008). In 1350 A.D., the Royal household purchased adjacent land, enabling King Edward III to found a Cistercian abbey. This served the plague burial ground but also established its own cemetery, which was in use from 1350 to 1538 A.D.; again, although the names of some people buried there are documented, Figure 1. Map showing the location of London within the United Kingdom, scale 1:5,000,000 (OS OpenData Downloads). https://www.findingceremony.com/ https://www.findingceremony.com/ Population Affinity and Plague in Fourteenth-Century London314 none of the human remains in our study could be as- sociated with a particular individual (Grainger and Phillpotts 2011). Archaeological and primary source evidence has established three burial phases at St.  Mary Graces, but only individuals from the first phase are included in our study, as they date from 1350– 1400 A.D., when the plague was still present in London, including during the second major outbreak of plague in 1361 A.D. (Grainger and Phillpotts 2011). An- cient DNA analysis of skeletons excavated from the emergency burial ground and the first burial phase of St. Mary Graces has identified Y. pestis at both sites (Bos et al. 2011; Klunk et al. 2019; Schuenemann et al. 2011). Individuals who died from causes other than plague (the nonplague individuals, n = 96) included in this study were excavated from areas of St. Mary Graces not associated with plague outbreaks (n = 7) and from the St. Mary Spital cemetery (SRP98, n = 89) (Fig. 3) (Connell et al. 2012). The SRP98 cemetery was used over four distinct phases (as determined by archaeo- logical and radiometric evidence): 1100– 1200, 1200– 1250, 1250– 1400, and 1400– 1540 A.D. To ensure as best as possible that our analyses compared hazard rates (see below) for population affiliations during the SPP relative to nonplague mortality, we did not include individuals buried in SRP98 between 1250 and 1400 A.D. The human remains from MIN86 and SRP98 were recorded using the Wellcome Osteological Research Database (WORD) using published standard methods (Powers 2007, 2012): a total of 636 individuals from East Smithfield and 199 from the first burial phase at St. Mary Graces were recorded (Centre for Human Bioarchaeology 2007a, 2007b). Of these, 49 adult (> 18 years old) individuals were included in our study: 40 from East Smithfield and nine from St.  Mary Graces. They had previously been selected for popu- lation affiliation analysis (Redfern and Hefner 2019, 2021) because they had the cranial vault and facial bones present that are used in the macromorphoscopic method (MMS) (Hefner and Linde 2018). The modern constructed identities often associated with race, such as “white” or “Black,” are not biological realities and the continuous and overlapping nature of human variation does not permit a rigid determination. In- stead, any method only calculates probabilities of membership into some a priori established reference samples. To detach our estimates from the typological underpinnings of forensic anthropology, we utilized cranial data to estimate affinity, which Spradley and Figure 2. Map showing the location of the East Smithfield (MIN86) burial ground in London, England. © Museum of London Archaeology. Redfern et al. 315 the white European sample. Of the nine plague indi- viduals from St. Mary Graces, two were most similar to the white European sample, three to the Asian sam- ple, and four to the African sample. Nonplague indi- viduals from St. Mary Graces and SRP98 included 87 individuals similar to the white European sample, one individual to the Asian sample, and eight individuals similar to the African sample. Tables 1 and 2 summa- rize these data for each site. Redfern and Hefner (2019, 2021) provide additional details on this ap- proach and our decision to pool those with white Eu- ropean and Asian population affinity estimates. Using site archive information and the ancient DNA (aDNA) evidence for Y. pestis, it was possible to estab- lish that they were from the emergency burial ground or first phase of burial at St. Mary Graces and, there- fore, were plague victims (Table 2). Previous research by DeWitte (2010a, 2014a, 2018) used transition analy- sis to estimate age- at- death for individuals from MIN86 and SRP98. This method of adult age estima- tion uses Bayesian statistics to avoid the problem of age- mimicry (i.e., estimates biased toward the known- age reference sample used to derive age estimation methods) that limits conventional methods of age es- timation (Boldsen et  al. 2002). Importantly, it also yields point estimates of age for all possible adult ages, rather than broad interval estimates with an open- ended terminal category (e.g., > 45 years old), as is the case with conventional methods, thereby allowing for analysis of mortality patterns at advanced ages. Our previous research on selective mortality during the SPP used transition analysis age estimates. Therefore, for consistency, we used these age estimates because transition analysis estimates are less prone to age- mimicry and potentially more informative about mortality patterns at advanced adult ages. Although like most skeletal age estimation methods, the accu- racy of this approach is not ideal (see Milner and Bold- sen 2012), we have used the same method across all individuals in this study and are less concerned with individual estimates than with the aggregate pattern. Transition analysis age estimates were generated us- ing the Anthropological Database, Odense University (ADBOU) Age Estimation software and selecting the informative “archaeological” prior distribution of ages at death. The archaeological prior, which is based on data from seventeenth- century Danish rural parish re- cords, represents a generalized preindustrial mortal- ity curve and is thus suited to medieval samples (Bullock et al. 2013). We assess variation in risk of mortality, survivor- ship, and evidence of exposure to physiological stress across population affinity groups within these cemetery samples. With respect to skeletal markers of physiological stress, we are mindful of the potential Jantz (2021) and Ross and Pilloud (2021) suggest is not attached to definitions of race and ethnicity, and does provide useful data for identification efforts and biodistance analysis. Therefore, we selected global reference samples from the MMS Databank, repre- senting populations from Europe, North and South Africa, North and Southeast Asia, the Americas, South Pacific Islands, and the Middle East (Hefner and Linde 2018). Five MMS traits with demonstrable heritability estimates were selected to capture cra- nial morphological variability and ecogeographical patterns of human variation. These data were passed through a classification model to produce a probabi- listic estimate of population affiliation for each. Two associated statistics inform our analysis: (1) the accu- racy of the models and (2) the probability estimates of each classification. Each model used leave- one- out cross- validation and had accuracies around 75% to 80% (95% CI: 70.1% to 90%) for up to seven reference groups. In general, posterior probability values closer to 1.0 represent more similarity to the reference sample, while lower values suggest less likelihood of a correct classification. At East Smithfield, three indi- viduals had cranial morphologies most similar to the Asian sample, five to the African sample, and 32 to Figure 3. Location of St. Mary Spital (SRP98) within London. © Museum of London Archaeology. Population Affinity and Plague in Fourteenth-Century London316 effects of the osteological paradox (Wood et al. 1992), that is, that the presence of stress markers may not be a clear reflection of poor health in this context. Spe- cifically, it is possible that the presence of stress mark- ers may reflect resilience in some people, and the absence of them might reflect low frailty (or “good health”), contrary to conventional interpretations. Previous work on these populations has demonstrated that all of the nonspecific skeletal markers of physio- logical stress used in this study were related to higher mortality risk during the SPP (DeWitte 2010b, 2014b, 2014c, 2015, 2018; DeWitte and Wood 2008; Godde et  al. 2020). Previous work in this context has also demonstrated that although the presence of periosteal new bone formation (PNBF) in general is associated with elevated risks of mortality (DeWitte and Wood 2008), healed PNBF is associated with higher survi- vorship and thus may reflect resilience (DeWitte 2014). That is, by leveraging age- structured data to over- come some of the potential limitations posed by het- erogeneous frailty and selective mortality (DeWitte and Stojanowski 2015; Wood et al. 1992), our previ- ous research has established that these skeletal stress markers are, at least in this context, useful markers of frailty or resilience. Therefore, we used data collected by the second author for presence/absence of linear enamel hypoplasia (LEH) on the left mandibular ca- nine, cribra orbitalia (CO) on the left orbit, and PNBF Table 1. List of individuals from St. Mary Spital (SRP98), context (skeleton number), date, burial type, sex, and population affiliation group (PPG). M (male), P.M (probable male), F (female), I (intermediate); SRP98 burial types: A/B/C (attritional cemetery), D (multilayered, horizontal stacked rows within a single grave cut) (Connell et al. 2012:13). Context Date Burial Type Sex PPG Age (years) 1334 1200– 1250 A M White European 20.62 1716 1100– 1200 B F White European 2344 1400– 1539 A F White European 28.94 2487 1400– 1539 D F White European 51 2646 1400– 1539 A PM White European 33.74 2657 1400– 1539 A PM White European 39.01 2679 1400– 1539 A M African 65.44 2907 1400– 1539 A PM White European 40.93 3037 1400– 1539 A PM African 35.71 3172 1200– 1250 A M White European 22.46 3515 1400– 1539 A M African 24.19 3533 1100– 1200 A F White European 3538 1200– 1250 B F White European 30.6 3775 1400– 1539 A F White European 47.01 3934 1200– 1250 D F White European 59.8 5275 1200– 1250 A M White European 35.31 5510 1100– 1200 A F White European 42.4 5561 1100– 1200 C F White European 5677 1100– 1200 A F White European 34.4 5794 1100– 1200 A F White European 5869 1100– 1200 A F White European 6427 1400– 1539 A M White European 34.39 6571 1100– 1200 A M White European 7127 1400– 1539 A F White European 19.05 7266 1400– 1539 A F White European 29.36 7383 1200– 1250 A M White European 32.79 7616 1400– 1539 A PM White European 48.59 7701 1400– 1539 A M White European 23.56 7796 1400– 1539 A F White European 32.44 7915 1400– 1539 A M White European 34.17 8264 1400– 1539 A F White European 30.74 9260 1400– 1539 A M White European 21.94 9420 1100– 1200 A F White European 9632 1100– 1200 D M White European 21.5 9789 1100– 1200 D M White European 34.8 10124 1400– 1539 A I White European 24.99 10765 1400– 1539 A F White European 34.15 10794 1400– 1539 A PM White European 76.39 11050 1400– 1539 A M White European 15.49 11136 1400– 1539 A M White European 26.1 11221 1400– 1539 A F White European 30.18 11428 1400– 1539 A F White European 19.71 12238 1400– 1539 A M White European 18.5 12714 1200– 1250 A M White European 29 12923 1200– 1250 A I White European 30.77 Context Date Burial Type Sex PPG Age (years) 14307 1200– 1250 A PM White European 34.3 14493 1400– 1539 A F White European 27.19 14868 1200– 1250 A M White European 31.46 15030 1200– 1250 A F White European 19.33 15339 1200– 1250 A M White European 18.5 17496 1200– 1250 A F White European 30.09 19503 1400– 1539 D F White European 19 19618 1400– 1539 A M White European 35.74 19950 1200– 1250 D F White European 49.9 20082 1200– 1250 A F African 19.35 20184 1400– 1539 A PM White European 36.47 20255 1400– 1539 A F White European 36.32 20360 1200– 1250 A PM White European 21 20462 1400– 1539 A M White European 24.88 20682 1200– 1250 D M White European 30.5 21011 1400– 1539 A M White European 33.33 21099 1400– 1539 A M African 19.51 21273 1100– 1200 A M White European 21371 1400– 1539 A M White European 30.28 21569 1400– 1539 A M White European 17.5 22105 1400– 1539 A M White European 26.14 22640 1200– 1250 D F White European 18 22648 1200– 1250 A I White European 23.71 23103 1200– 1250 A F White European 26.6 23441 1400– 1539 A M White European 25.8 23448 1400– 1539 A P.F African 18 23514 1200– 1250 D M White European 26 24010 1100– 1200 D F White European 30.3 24185 1100– 1200 D F White European 50 25492 1200– 1250 A PM White European 25.44 25737 1200– 1250 A M White European 18.5 25832 1200– 1250 A I White European 18.71 27177 1400– 1539 A F White European 18.5 27476 1100– 1200 A M African 29462 1400– 1539 A F White European 15 29698 1200– 1250 A F White European 31.8 30039 1200– 1250 A P.F White European 16.56 30212 1200– 1250 D M White European 74.7 30448 1200– 1250 A M White European 20.5 30939 1200– 1250 A PM White European 15 31245 1200– 1250 A PM White European 24.25 32091 1200– 1250 A F White European 44.5 32302 1200– 1250 D M White European 18.5 33167 1200– 1250 A F White European 31.6 Redfern et al. 317 Table 2. List of individuals from the Royal Mint site (MIN86) organized by burial ground: East Smithfield (plague burials) and St. Mary Graces (potential plague and nonplague burials), plague score, context (skeleton number), sex (M male, F female) and population affiliation group (PPG) and code, and transition analysis age estimate. Site Code Site Name Plague Context Sex PPG PPG Code 3 (0: white European, 1: African, 2: Asian) PPG Code 2 (0: white European/ Asian, 1: African) Plague Code (0: nonplague, 1: plague) Age (years) MIN86 East Smithfield Plague 5272 M White European 0 0 1 57.45 MIN86 East Smithfield Plague 5281 M African 1 1 1 20.19 MIN86 East Smithfield Plague 5283 F White European 0 0 1 17.63 MIN86 East Smithfield Plague 5285 M White European 0 0 1 33.28 MIN86 East Smithfield Plague 5741 F African 1 1 1 31.16 MIN86 East Smithfield Plague 5902 F African 1 1 1 15 MIN86 East Smithfield Plague 5960 M White European 0 0 1 31.74 MIN86 East Smithfield Plague 6428 F White European 0 0 1 17.9 MIN86 East Smithfield Plague 6467 F White European 0 0 1 18.72 MIN86 East Smithfield Plague 6532 F White European 0 0 1 38.82 MIN86 East Smithfield Plague 7065 M White European 0 0 1 24.05 MIN86 East Smithfield Plague 7094 M White European 0 0 1 15 MIN86 East Smithfield Plague 7163 F White European 0 0 1 30.69 MIN86 East Smithfield Plague 7381 F Asian 2 0 1 15 MIN86 East Smithfield Plague 8277 M White European 0 0 1 26.41 MIN86 East Smithfield Plague 8343 M White European 0 0 1 32.25 MIN86 East Smithfield Plague 8427 F White European 0 0 1 29.01 MIN86 East Smithfield Plague 9540 M African 1 1 1 19.8 MIN86 East Smithfield Plague 9807 F White European 0 0 1 19.45 MIN86 East Smithfield Plague 11108 F Asian 2 0 1 43.1 MIN86 East Smithfield Plague 11109 F White European 0 0 1 20.34 MIN86 East Smithfield Plague 11115 M White European 0 0 1 28.21 MIN86 East Smithfield Plague 11118 M White European 0 0 1 33.52 MIN86 East Smithfield Plague 11193 M White European 0 0 1 43.01 MIN86 East Smithfield Plague 11244 F African 1 1 1 20.77 MIN86 East Smithfield Plague 11430 F White European 0 0 1 28.19 MIN86 East Smithfield Plague 11625 M Asian 2 0 1 18.88 MIN86 East Smithfield Plague 11627 M White European 0 0 1 18.67 MIN86 East Smithfield Plague 11857 M White European 0 0 1 78.13 MIN86 East Smithfield Plague 11914 M White European 0 0 1 15 MIN86 East Smithfield Plague 11944 M White European 0 0 1 48.5 MIN86 East Smithfield Plague 12566 M White European 0 0 1 23.89 MIN86 East Smithfield Plague 12567 M White European 0 0 1 39.3 MIN86 East Smithfield Plague 12643 F White European 0 0 1 22.66 MIN86 East Smithfield Plague 12700 F White European 0 0 1 35.21 MIN86 East Smithfield Plague 12790 F White European 0 0 1 45.87 MIN86 East Smithfield Plague 12813 M White European 0 0 1 57.18 MIN86 East Smithfield Plague 12814 F White European 0 0 1 34.19 MIN86 East Smithfield Plague 12815 M White European 0 0 1 15 MIN86 East Smithfield Plague 20003 F White European 0 0 1 MIN86 St. Mary Graces Potential plague 6272 F Asian 2 0 1 18.73 MIN86 St. Mary Graces Potential plague 6371 M African 1 1 1 17.5 MIN86 St. Mary Graces Potential plague 6565 F White European 0 0 1 33.61 MIN86 St. Mary Graces Potential plague 8015 F African 1 1 1 21.04 MIN86 St. Mary Graces Potential plague 8108 M African 1 1 1 MIN86 St. Mary Graces Potential plague 9519 F African 1 1 1 19.5 MIN86 St. Mary Graces Potential plague 9901 M Asian 2 0 1 17.01 MIN86 St. Mary Graces Potential plague 11030 M Asian 2 0 1 72.3 MIN86 St. Mary Graces Potential plague 12664 F White European 0 0 1 24.47 MIN86 St. Mary Graces Nonplague 9395 M White European 0 0 0 MIN86 St. Mary Graces Nonplague 9417 M Asian 2 0 0 75.22 MIN86 St. Mary Graces Nonplague 9425 M African 1 1 0 68.21 MIN86 St. Mary Graces Nonplague 10170 M White European 0 0 0 17.5 MIN86 St. Mary Graces Nonplague 12297 F White European 0 0 0 30.73 MIN86 St. Mary Graces Nonplague 12339 F White European 0 0 0 72.24 MIN86 St. Mary Graces Nonplague 13935 M White European 0 0 0 35.26 Population Affinity and Plague in Fourteenth-Century London318 on the left tibia. The first two can only occur during childhood and have multifactorial origins, with LEH reflecting disruptions of ameloblast activity during enamel development (Towle and Irish 2020) and CO often in response to anemia (Brickley 2018). PNBF also has multifactorial origins, such as infection or trauma, but can form at any point during life (Weston 2012). Although these signs of physiological stress have mul- tifactorial origins, making diagnosis of specific etiol- ogies difficult or impossible, bio archae ol o gi cal research has demonstrated that they provide crucial insights into stress and, by careful inference, health in past populations (Larsen 2015). Comparison of these skeletal markers across the groups in this study thus has the potential to reveal differences in exposures to physiological stressors or frailty/health based on population affinity. Statistical analyses We initially performed analyses comparing all three population affinity groups. We also pooled samples estimated as white European and Asian for all analy- ses. We did so for a number of supportable reasons, including the weak likelihood estimates among the Asian- estimated sample and preliminary analysis re- vealing no significant differences in hazards of dying between those with estimated white European and Asian population affiliation (indicating pooling would not result in loss of resolution or reduced power for the overall hazard model). Differences in hazards of dy- ing among the population affinity were assessed using the Cox proportional hazards model. The Cox propor- tional hazards model evaluates the hazard of an event (in this case, death from plague) and is thus also re- flective of survival, with estimated hazard ratios above 1 indicating decreased survival times associated with the variable of interest, and hazard ratios below 1 in- dicating greater survival times. This semi- parametric model allows for the estimation of differences in haz- ards of dying (or survival) within a sample based on variables of interest but does not require the specifi- cation of a parametric baseline hazard function and is thus suited to the relatively small sample sizes avail- able for this study. For analyses of all three popula- tion affinity groups, individuals estimated to be white European were assigned a score of 0, those with esti- mated African population affiliation were assigned a score of 1, and those with estimated Asian population affiliation were assigned a score of 2. For analysis us- ing pooled data from those with estimated white Eu- ropean and Asian population affiliations, individuals estimated to be white European or Asian were as- signed a score of 0 and those with estimated African population affiliation were assigned a score of 1. Following Godde et  al. (2020), we applied the Cox model to data from both plague and nonplague buri- als, using a binary outcome variable of “death from plague” (coded as 1 for individuals buried in East Smithfield or the plague area of St. Mary Graces) or “other cause of death” (coded as 0 for individuals bur- ied in St. Mary Graces >c. 1400, SRP98, c. 1100– 1250, and SRP98 c. 1400– 1540), with age- at- death as the time scale (Tables 1 and 2). We take an intersectional approach and avoid the assumption that the experi- ences of people of different population affinities would have been uniform across sex within each population affinity group. To determine whether the intersection of sex and population affinity amplified poor outcomes, we compare survivorship and hazards of mortality separately by estimated sex. Due to limited sample sizes, differences in numbers of males and females, proportions of individuals of es- timated population affiliations, and the presence/ab- sence of skeletal physiological stress indicators among the groups were evaluated using Fisher’s exact tests. In some contexts, skeletal indicators of physio- logical stress have been shown to be associated with age, and previous research has demonstrated that the frequency of PNBF increases with age (DeWitte 2014c; Grauer 1993). It is therefore possible that ob- served differences between groups in the frequencies of skeletal indicators of physiological stress might be an artifact of the interaction between age- associated skeletal indicators of stress and differences between the age- at- death distributions of those groups, rather than reflecting true differences in exposure to physi- ological stress. For example, one group might have a higher frequency of PNBF compared to another simply because it has a greater proportion of older adults. To determine whether this might have an ef- fect on our findings, binary logistic regression was used to evaluate the relationship between age and each skeletal indicator of stress used in our study. All analyses were performed in SPSS. We selected a priori a p- value of less than 0.1 as indicative of a trend worthy of consideration. As in previous work, we chose this alpha level in light of the fact that, as is typ- ical in bioarchaeology, we are working with small sample sizes, and adherence to a conventional alpha level of 0.05 could hinder dissemination of results that might reflect larger population patterns and stimulate additional study. Results Analysis of adults from the population affiliation groups (Tables 1 and 2) did not reveal any significant differences among the groups with respect to sex Redfern et al. 319 affiliation groups and of the pooled white European/ Asian vs. African population affiliation groups are shown in Table 5. These results indicate that for the female- only sample, individuals of estimated African population affinity have a significantly higher esti- mated hazard of dying of plague compared to those with estimated white European affinity. There are no significant associations for any of the other compar- isons. When we pool people with estimated white European and Asian population affinity, using the pooled- sex sample and the male- only sample, these analyses did not reveal evidence of significant differ- ences in hazard rates between population affiliation groups. However, using the female- only sample, the results indicate that individuals with estimated Afri- can affiliation have a significantly higher estimated hazard of dying of plague compared to those with estimated white European/Asian affiliation. This re- sult suggests how intersectionality— the compounded harm of race and gender and misogynoir (Bailey 2021; Crenshaw 1989, 1991)— may have impacted mortality during medieval pandemic disease. The results of binary logistic regression to evaluate the association between age and each physiological stress indicator for the plague burials are shown in Table 6. As has been shown previously (DeWitte 2014b, 2014c, 2018), there is a significant positive association between age and PNBF. However, neither LEH nor CO are significantly associated with age. Comparison of frequencies of physiological stress between the affilia- tion groups (Table 7) revealed higher rates of LEH but lower rates of CO and PNBF in individuals with esti- mated African affiliation and compared to those with white European/Asian affiliation. None of these differ- ences were statistically significant. ratios for either the plague or the nonplague sam- ples. Using data from all three population affiliation groups, there are significantly higher proportions of people of estimated African and Asian affiliation in the plague burials compared to the nonplague buri- als, as shown in Table 3. Similarly, when using data from the pooled white European/Asian vs. African population affiliation groups, there is a significantly higher proportion of people of estimated African af- filiation in the plague burials compared to the non- plague burials (18.4% vs. 8.3%, Fisher’s exact p = 0.076). The mean ages at death and the corresponding 95% confidence intervals for each group among the plague burials are shown in Table 4. The results of Cox pro- portional hazards analyses of all three population Table 3. Frequencies of individuals of each estimated population affiliation group in the plague vs. nonplague burials. Population Affiliation Plague Nonplague p- value African 9 (18.4%) 8 (8.33%) 0.002 Asian 6 (12.2%) 1 (1.04%) White European 34 (69.4%) 87 (90.63%) African 9 (18.4%) 8 (8.3%) 0.076 White European/Asian 40 (81.6%) 88 (91.7%) Table 4. Mean ages at death in years (and corresponding 95% confidence intervals) for each population affiliation among plague burials. Population Affiliation Mean Age at Death 95% CI White European (n = 33) 31.435 26.621– 36.249 African (n = 8) 20.620 17.362– 23.878 Asian (n = 6) 30.837 12.586– 49.087 White European/Asian (n = 39) 31.34 26.52– 36.17 African (n = 8) 20.62 17.36– 23.88 Table 5. Cox proportional hazards analysis results comparing (a) all three population affiliation groups and (b) white European/Asian and African: hazard ratios, Exp(β), with corresponding 95% confidence intervals. The asterisk indicates, for each comparison, which population affiliation is the reference group; significant results are indicated in bold. a Population Affiliation Exp(β) 95% CI p- value Pooled sexes White European* (n = 111) and African (n = 15) 1.323 0.765– 2.288 0.317 White European* (n = 111) and Asian (n = 7) 0.699 0.319– 1.529 0.37 African* (n = 15) and Asian (n = 7) 0.613 0.215– 1.747 0.36 Female White European* (n = 47) and African (n = 7) 3.21 1.373– 7.506 0.007 White European* (n = 47) and Asian (n = 3) 1.532 0.470– 4.997 0.479 African* (n = 7) and Asian (n = 3) 0.699 0.141– 3.464 0.661 Male White European* (n = 60) and African (n = 8) 0.932 0.439– 1.977 0.854 White European* (n = 60) and Asian (n = 4) 0.598 0.211– 1.692 0.332 African* (n = 8) and Asian (n = 4) 0.426 0.086– 2.110 0.296 b Pooled sexes White European/Asian* and African 1.374 0.798– 2.366 0.252 Female White European/Asian* and African 2.995 1.290– 6.950 0.011 Male White European/Asian* and African 1.029 0.488– 2.167 0.941 Population Affinity and Plague in Fourteenth-Century London320 would have primarily been in the working class, espe- cially domestic labor. The use of a Black feminist meth- odology has meant that we can now analyze these data specifically with a “multi- issue” lens. We point to Crenshaw’s discussion of how intersectionality works in relation to discrimination and compounded harm as a way to consider why Black women would have been at higher risk: The point is that Black women can experience discrimination in any number of ways and that the contradiction arises from our assump- tions that their claims of exclusion must be uni- directional. Consider an analogy to traffic in an intersection, coming and going in all four direc- tions. Discrimination, like traffic through an intersection, may flow in one direction, and it may flow in another. If an accident happens in an intersection, it can be caused by cars traveling from any number of directions and, sometimes, from all of them. Similarly, if a Black woman is harmed because she is in the intersection, her injury could result from sex discrimination or race discrimination. (Crenshaw 1989:149) However, in our case with our data, we would like to add to the sentence “if a Black woman is harmed because she is in the intersection, her injury could result from sex discrimination or race discrimina- tion,” the issue of class discrimination and disability discrimination. Because of the white imaginary in relation to the Black population’s erasure in medieval England, there is little scholarship that discusses the contours of the labor of Black women. However, if we look at the schol- arship in early modern England, the discussion is more robust and has pointed to Black women primar- ily being working class, especially as domestic labor (Akhimie 2018; Brown 2021). A Black woman’s situa- tion in domestic service also brings up the specter of  labor theft, hard manual labor, as well as sexual harassment, coercion, if not assault because of her status as household servant. Harris (2022) speaks of this most in relation to Chaucer and the recent reas- sessment happening in regards to his “rape/raptus” case that involves Cecily Chaumpaigne. As she dis- cusses “the numerous female servants” in Chaucer’s oeuvre, she explains that “We must think about how these figures are subject to assumptions about wom- en’s labor and who owns it, how they embody gen- dered vulnerability, and how they are expected to subordinate their wills to those of others” (Harris 2022:477). Harris (2022:477) further points to Phipps’s (2020:141– 142) work on “raptus” (the very wide term for rape that included abduction to physical assault in Discussion These results suggest that, at least for females, individ- uals with estimated African affiliation faced higher hazards of dying of plague compared to individuals of estimated white European affiliations of similar ages. The higher observed rates of LEH in individuals in the plague burials with estimated African (100%) com- pared to those with white European/Asian popula- tion affiliation (71%) might be an artifact of small sample sizes. Alternatively, this might reflect differ- ences in either exposure to stressors or survival of acute physiological stress during childhood, poten- tially reflecting enslavement/unfreedom. For past populations, just as much as for living pop- ulations, it is essential that we are careful to avoid the incorrect and harmful implication that there is a bio- logical basis of race, and we actively oppose the incor- rect inference that there is something inherent to people assigned to a certain racial category that makes them more vulnerable to disease. Instead, we empha- size here that variation by race in susceptibility to and hazard of dying from disease reflects the biological and psychosocial effects of racism, which was present in the medieval world (Heng 2018a); race is a social classification and is not based in biological reality, but it does have biological consequences (American Asso- ciation of Biological Anthropologists 2019; Fuentes and Rouse 2016; Gravlee 2009; Lans 2020; McLean 2019; Weheliye 2014). The data that we have analyzed here reveal that Black women, because of the structural harm of mi- sogynoir, had a higher risk of SPP death. But what are the potential contexts of this higher risk? Along with anti- Blackness and misogyny, these women would have dealt with issues around class because they Table 6. Results of binary logistic regression of age and each physiological stress indicator among plague burials. LEH (linear enamel hypoplasia), PNBF (periosteal new bone formation). Pathology Exp(β) 95% CI p- value LEH (n = 39) 1.004 0.95– 1.07 0.88 PNBF (n = 28) 1.13 1.02– 1.26 0.018 Cribra orbitalia (n = 35) 0.974 0.91– 1.04 0.45 Table 7. Frequencies of physiological stress indicators and p- values from Fisher’s exact tests of differences among population affiliations (plague burials). LEH (linear enamel hypoplasia), PNBF (periosteal new bone formation). Pathology White European Asian African p- value LEH 21/26 (80.8%) 1/4 (20%) 8/8 (100%) 0.005 PNBF 6/20 (30%) 0 (0%) 1/5 (20%) 0.803 Cribra orbitalia 8/26 (30.8%) 0 (0%) 1/7 (14.3%) 0.804 Redfern et al. 321 the Middle Ages) occurring in court cases “involving servant women in late medieval town courts” (Phipps 2020:141– 142). She also examines Lewis’s (2016) work on the osteology of medieval “urban servant women” to discuss how the gender and class discrimination manifested in these women’s remains. She quotes Lewis’s conclusion: “There are suggestions that domes- tic service caused strain on the legs and backs of the urban females. . . . Overall it was the urban females that carried the burden of respiratory and infectious diseases, suggesting they may have been the most vul- nerable group in medieval society” (Harris 2022:478; Lewis 2016:138– 171). The osteological discussion aligns with what our data show in relation to infectious pan- demic disease. The osteological information also re- veals the ways in which urban servant women would have been prone to physical disability because of their manual labor work and exposure to disease. Harris (2022) finishes this section of her article to point to the many scholars who have discussed the sexual vul- nerability of domestic women servants in the late Middle Ages (see Kettle 1995; McIntosh 1984; Wer- ner 2016). We can further speculate about the lives that these women may have lived and even their po- tential literacy if we consider Phillips’s recent work (2022, 2023) on Black servants and their consump- tion of conduct books in early modern Europe. All these contextual considerations and specula- tions would not have been possible without a Black feminist bio archae ol o gi cal methodology. For example, if we were to revisit Lewis’s (2016) group of women’s remains analyzed as part of “Work and the Adolescent in Medieval England (AD 900– 1550): The Osteologi- cal Evidence,” and we used a Black feminist method- ology that included race as an analytic category, what further nuance in the bio archae ol o gi cal analysis could we find? What could align with our current discussions about misgnoir and intersectionality? Conclusions We are currently witnessing, on a horrifying scale, the biological effects of racism in the COVID- 19 pan- demic. Evidence is emerging that Black communi- ties across the Global North comprise an alarmingly disproportionate number of cases and deaths (Fuen- tes 2020; Paton et al. 2020; Rossen et al. 2020). Pirtle (2020) compellingly argues that this demonstrates the effects of racial capitalism increase the risk of co- morbid conditions in Black Americans (see African American Policy Forum 2020). Clearly, medieval England, and the embodied expe- riences of London’s racialized Black population, as attested in the primary sources (Adi 2019), and based on preliminary data from a sample of 89 individuals from two cemeteries, who appear to make up 20% to 30% of the population (Redfern and Hefner 2021), are not directly comparable to modern populations. How- ever, this study’s results suggest that the health out- comes of structural and anti-Black racism we see today might have had parallels during the SPP. This study’s findings, in addition to improving how we understand the history of racialized marginaliza- tion’s effects on human health and mortality, highlight the heterogeneity that exists within the human re- mains that we rely on to reconstruct premodern life. Much of the variation in frailty and embodied experi- ences present in archaeological human remains is largely hidden from our view (DeWitte and Sto- janowski 2015; Wood et al. 1992). Our previous work focused on those variables most often utilized in bio- archaeology: age, sex, and pathological conditions. But the patterns revealed by analyzing just those data mask a tremendous amount of underlying variation and the outcomes of intersections across varied biosocial di- mensions. By applying multiple analytical approaches to and lines of evidence from these skeletal samples, we have the potential to uncover some of that once hidden heterogeneity to better understand the forces that shaped past lives. We also argue that the way for- ward in medieval bioarchaeology is with a Black fem- inist methodology, which we believe has revealed an example of how intersectionality works in relation to pandemic disease. We recommend that intersectionality and criti- cal race theories become integrated into medieval bio archae ol o gi cal studies, as well as the pandemic necropolitics seen in certain premodern racialized communities. Although not without issue, we hope that geographically, temporally, and local, condition- specific MMS can make a contribution to reassessing the medieval European archive of remains, documen- tary, and visual evidence. We believe Black feminist methodology is foundational to narrate the lived ex- perience of Black people, whose substantial premod- ern English community has been elided and erased. We conclude here by taking a small step and cue from Hartman’s (2019) “Wayward Lives” to method- ologically reimagine one Black woman from our study here and resituate her in the space of medieval London. This is just a sketch of possibilities and the strands that can be pulled to begin piecing a counter- narrative of a medieval Black London. In Chaucer’s Cook’s Tale, Perkyn Revelour plans to move in with his gambling friend and his sex- worker wife— the liv- ing situation suggests a potential polyamorous rela- tionship. He is described earlier as carousing with a “wench,” gambling, and playing music. In these short lines, we get a picture of medieval London’s urban Population Affinity and Plague in Fourteenth-Century London322 street culture, where Perkyn watches the parades in Cheapside and gets himself locked up in Newgate prison on occasion. Harris (2019) has written and discussed the contours of racialized and gendered terminology around the word wench in relation to transatlantic chattel slavery in the British and Amer- ican context. Wench was a reference to Black women servants (i.e., ones who were enslaved) who were seen as “sexually available” in nineteenth- century American media. Harris (2019) does a philological deep- dive into the development of wench in late medieval English. Specifically in Chaucer, they reveals how its use always references the social hierarchy of servant, below a lady (Merchant’s Tale), and consistently is coupled with sex- ual availability (Merchant’s Tale), including that of toxic rape culture and gender- based sexual violence (Reeve’s Tale). Can Perkyn Revelour’s “wench” be an- other Black woman servant also working and living in the London streets but finding time to dance, play dice, and drink with a medieval Black cook? Can we imagine her in Hartman’s (2019) opening to Way- ward Lives but in London’s fourteenth- century urban streets filled with brothels, shops, outdoor dice games, and taverns selling beer: You can find her in the group of beautiful thugs and too fast girls congregating on the corner and humming the latest rag, . . . Watch her in the al- ley passing a pitcher of beer back and forth with her friends. . . . Step onto any of the paths that cross the sprawling city and you’ll encounter her as she roams. (Hartman 2019:3) Acknowledgments RR is forever indebted to Stuart Wyatt (MoL) for managing to combine his one hour’s exercise during lockdown 2020 with retrieving the MIN86 site report from the Archaeological Archive. Funding to SND from the NSF (BCS- 0406252, BCS- 1261682) and the Wenner- Gren Foundation (#7142, #8247) supported data collection from East Smithfield and St.  Mary Graces. 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