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Record W4287252083

Distributed Text Services (DTS): a Community-built API to Publish and Consume Text Collections as Linked Data

2021· preprint· en· W4287252083 on OpenAlexaff
Bridget Almas, Thibault Clérice, Hugh Cayless, Vincent Jolivet, Pietro Maria Liuzzo, Matteo Romanello, Jonathan Robie, Ian W. Scott

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2021
Typepreprint
Languageen
FieldArts and Humanities
TopicDigital Humanities and Scholarship
Canadian institutionsTyndale University
Fundersnot available
KeywordsComputer sciencePublicationWorld Wide WebInformation retrievalDatabaseBusinessAdvertising
DOInot available

Abstract

fetched live from OpenAlex

This manuscript was submitted to and is being reviewed at the Journal of the Text Encoding Initiative (jTEI)

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Software · Consensus signal: Software
Teacher disagreement score0.993
Threshold uncertainty score0.243

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.025
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0070.008
Science and technology studies0.0020.002
Scholarly communication0.0070.011
Open science0.0050.014
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0730.046

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 head0.055
GPT teacher head0.254
Teacher spread0.199 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreSoftware

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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