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Record W2552768957 · doi:10.3917/puv.moeg.2016.01

Industrialiser l’éducation

2016· book· fr· W2552768957 on OpenAlex
Pierre Mœglin, Eric Auziol, Jean-Marie Ball, Marie-José Barbot, Judith Barna, Nathalie Boucher-Pétrovic, Yolande Combès, Monique Commandré, Claude Debon, Élisabeth Fichez, Patrick Guillemet, Pierre Landry, Jean-Luc Metzger, Bernard Miège, Roxana Ologeanu, Didier Paquelin, Alain Payeur, Laurent Petit, Mohamed Sidir, Françoise Thibault, Gaëtan Tremblay, Alain Chaptal

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePresses universitaires de Vincennes eBooks · 2016
Typebook
Languagefr
FieldSocial Sciences
TopicHigher Education and Employability
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Pour mieux comprendre les mutations des organisations, ressources et pratiques éducatives. En vingt-et-un textes, un siècle de recherches américaines et européennes sur le phénomène majeur et méconnu de l’industrialisation éducative.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.752
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.050
GPT teacher head0.302
Teacher spread0.252 · 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