Study Carrel Tutorial

TL;DNR Distant Reader study carrels are platform- and network-independent data sets, and they lend themselves to addressing all sorts of research questions.

The Distant Reader and the Distant Reader Toolbox take an abritrary amount of text as input, do processing against it, and output data sets called "study carrels". The processing includes many steps: 1) converting the original documents into plain-text, extracting features (email addresses, URL's, bibliographics, parts-of-speech, named-entities, and keywords), and reducing the whole to a relational database. Through the exploitation of these data sets, all sorts of intereting research questions can be addressed.

Take a few minutes to familiarize yourself the content of the study carrel, below, and then continue with the tutorial, even further below.

Icon  Name                    Last modified      Size  Description
[PARENTDIR] Parent Directory - [DIR] adr/ 2022-11-09 12:40 - email addresses [DIR] bib/ 2022-11-09 12:44 - bibliographics [DIR] cache/ 2022-11-09 13:59 - original items [DIR] ent/ 2022-11-09 13:26 - named-entities [DIR] etc/ 2023-04-20 14:18 - models [DIR] figures/ 2022-11-09 14:01 - visualizations [TXT] index.htm 2023-05-01 18:04 6.9K computed home page [TXT] metadata.csv 2022-11-06 20:33 5.3K item, author, title, and/or date data [DIR] pos/ 2022-11-06 20:37 - parts-of-speech [TXT] provenance.tsv 2022-11-06 20:33 71 publishing data [DIR] txt/ 2022-11-09 14:23 - plain text versions of original items [DIR] urls/ 2022-11-06 20:37 - URL's [DIR] wrd/ 2022-11-06 20:38 - statistically significant keywords

The structure of a carrel

Each and every study carrel has a very very similar structure:

Study carrels may contain addtional files, and some of the more common are:

Eric Lease Morgan <>
November 9, 2022