MétaCan
Menu
Back to cohort
Record W4401630811 · doi:10.1093/fs/knae135

<i>Cette science nécessaire: dissections humaines et formation médicale au Québec</i> . Par Martin Robert <i>Cette science nécessaire: dissections humaines et formation médicale au Québec</i> . Par RobertMartin. (Études d’histoire du Québec/Studies on the History of Quebec, 43.) Montréal: McGill-Queen’s University Press, 2023. 234 pp., ill.

2024· article· fr· W4401630811 on OpenAlexaffabout
Benjamin Gagnon Chainey

Bibliographic record

VenueFrench Studies · 2024
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsDalhousie University
Fundersnot available
KeywordsQueen (butterfly)Art historyHumanitiesPhilosophyArtBiology

Abstract

fetched live from OpenAlex

Journal Article Cette science nécessaire: dissections humaines et formation médicale au Québec. Par Martin Robert Get access Cette science nécessaire: dissections humaines et formation médicale au Québec. Par Martin Robert. (Études d'histoire du Québec/Studies on the History of Quebec, 43.) Montréal: McGill-Queen's University Press, 2023. 234 pp., ill. Benjamin Gagnon Chainey Benjamin Gagnon Chainey Dalhousie University, Halifax, Canada delorimier1839@hotmail.com Search for other works by this author on: Oxford Academic Google Scholar French Studies, knae135, https://doi.org/10.1093/fs/knae135 Published: 16 August 2024

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 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
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.599
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
Bibliometrics0.0000.001
Science and technology studies0.0400.021
Scholarly communication0.0000.003
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.227
Teacher spread0.207 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueFrench StudiesSame topicHistorical Studies and Socio-cultural AnalysisFrench-language works237,207