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DORVEAUX, Paul

2020· book-chapter· fr· W4205700727 on OpenAlexaff
Amélie Jehan

Bibliographic record

Venuenot available
Typebook-chapter
Languagefr
FieldArts and Humanities
TopicFrench Historical and Cultural Studies
Canadian institutionsRéseau Trans-Tech’s
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Il commence par une carrière de médecin de campagne avant de devenir bibliothécaire de l’École supérieure de pharmacie et historien des sciences médicales. Sa passion double pour la recherche et pour la médecine l’a conduit à rédiger de nombreuses publications scientifiques.Collection BIU Santé PharmacieIl est né tout près de Metz, de parents commerçants. Sa mère est la tante de Louis Bertrand, membre de l’Académie française. Jeune, il entre au séminaire de Montigny-lès-Metz avant d'aller au...

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.865
Threshold uncertainty score0.452

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0040.003
Scholarly communication0.0060.006
Open science0.0010.002
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.1350.053

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 head0.060
GPT teacher head0.193
Teacher spread0.134 · 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
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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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