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Record W3012265705 · doi:10.4000/sabix.2601

Cahier d’illustrations : archives d’Algérie

2019· article· fr· W3012265705 on OpenAlexaff
Olivier Azzola, Norbert Verdier

Bibliographic record

VenueBulletin de la Sabix · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicPolitical and Social Issues
Canadian institutionsBibliothèque et Archives nationales du Québec
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

D ans cette section, nous mettons en avant huit points d'entrée fondés sur des éléments d'archives de diverses natures, couvrant une large période entre 1828 et 1908.Ils proviennent essentiellement des archives de l'Ecole polytechnique, mais aussi des archives Catalan à l'université de Liège, des dossiers * Responsable du Centre de ressources historiques de la bibliothèque de l'École polytechnique.** Maître de conférences en mathématiques appliquées et en histoire des sciences et des techniques à l'université Paris-Sud et à Sciences Po Paris.1. Ndlr : dans cet article comme dans le reste du bulletin, les références entre crochets correspondent à la bibliographie donnée en fin d'article ; les références entre double crochets correspondent aux sources sitographiques et celles entre triple crochets aux références archivistiques également données en fin d'article.2. [[NAM]].

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)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.268
Threshold uncertainty score0.896

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2680.128

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 head0.010
GPT teacher head0.284
Teacher spread0.274 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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