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Record W4248375028 · doi:10.4000/books.pum.4366

Théorie scientifique

2015· book-chapter· fr· W4248375028 on OpenAlexafffund
Luc Faucher

Bibliographic record

VenuePresses de l’Université de Montréal eBooks · 2015
Typebook-chapter
Languagefr
FieldArts and Humanities
TopicPhilosophy and History of Science
Canadian institutionsUniversité du Québec à Montréal
FundersUniversity of Illinois at Urbana-ChampaignOrganisation de Coopération et de Développement ÉconomiquesUniversity of TorontoJohns Hopkins UniversityPrinceton UniversityUniversity of OxfordHarvard UniversityUniversity of CambridgeWayne State UniversityState University of New YorkStanford Bio-XStyrelsen för Internationellt Utvecklingssamarbete
KeywordsComputer science

Abstract

fetched live from OpenAlex

La notion de théorie est centrale à la compréhension de l’activité scientifique. En effet, une bonne partie de l’activité scientifique consiste dans l’élaboration, la mise à l’épreuve, la défense ou la révision des théories. Les théories sont employées pour décrire, contrôler, prédire, expliquer et/ou comprendre les phénomènes appartenant à un domaine particulier. Comprendre ce que sont les théories, c’est donc éclairer une bonne partie de l’activité scientifique.Les philosophes se sont inté...

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)0.005
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.997
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0030.024
Scholarly communication0.0100.010
Open science0.0020.003
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0180.007

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 head0.032
GPT teacher head0.180
Teacher spread0.148 · 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 designTheoretical or conceptual
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
Published2015
Admission routes2
Has abstractyes

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