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Record W4232321762 · doi:10.7202/019470ar

Présentation

2008· article· fr· W4232321762 on OpenAlexaffvenue
Pierre Doray, Christian Maroy

Bibliographic record

VenueSociologie et sociétés · 2008
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Dans la plupart des pays développés, depuis plus de 20 ans, de nouvelles politiques et de nouveaux dispositifs institutionnels de régulation se développent dans les champs de l’éducation et de la formation, quel que soit d’ailleurs le segment considéré : l’enseignement obligatoire (primaire et secondaire), l’enseignement supérieur (postsecondaire et universitaire) ou la formation des adultes. Les réformes sont largement engagées avec l’objectif explicite d’améliorer l’efficacité et l’efficience des systèmes, sans faire fi des préoccupations d’équité, mises en avant dans plusieurs pays et par plusieurs organisations internationales comme l’UNESCO. Les réformes sont multidimensionnelles : modification du contenu des enseignements ou des formations, introduction de nouvelles méthodes pédagogiques, implantation de nouveaux dispositifs institutionnels de coordination et de régulation, action sur les flux d’étudiants ou d’apprenants. ...

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)0.002
metaresearch head score (Gemma)0.009
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 score0.450
Threshold uncertainty score0.784

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0080.005
Open science0.0020.005
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.4500.229

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 head0.804
GPT teacher head0.650
Teacher spread0.154 · 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

Citations5
Published2008
Admission routes2
Has abstractyes

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