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Record W4405570857 · doi:10.24215/27187470e066

Reseña de Rockwell, G., & Passarotti, M. (2019). The Index Thomisticus as a Big Data Project. Umanistica Digitale, 3(5).

2024· article· es· W4405570857 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePublicaciones de la Asociación Argentina de Humanidades Digitales · 2024
Typearticle
Languagees
FieldArts and Humanities
TopicLibraries, Manuscripts, and Books
Canadian institutionsnot available
Fundersnot available
KeywordsIndex (typography)ArtComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

El artículo reseñado recoge el trabajo de los profesores Geoffrey Rockwell (University of Alberta, Canadá) y Marco Passarotti (Università Cattolica del Sacro Cuore, Italia) sobre el proyecto del Index Thomisticus (IT), el cual inició el sacerdote jesuita Roberto Busa (1913-2011) a comienzos de la década de 1950. El IT surge como una herramienta para realizar búsqueda lematizadas dentro de la obra completa de Santo Tomás de Aquino. El objetivo que perseguía Busa era lograr un método que permitiera registrar, identificar, recuperar y procesar de manera automática y replicable todas las ocurrencias de las 11 millones de palabras que componen la obra de Santo Tomás de Aquino.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.768
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0030.004
Scholarly communication0.0580.004
Open science0.0040.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.200
GPT teacher head0.297
Teacher spread0.097 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it