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Record W3160756910 · doi:10.4000/ree.4308

Normalisation des compétences et rationalisation pédagogique. Le cas de la formation technique au Québec

2009· article· fr· W3160756910 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRecherches en éducation · 2009
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsRationalisationPolitical sciencePhilosophyMathematics

Abstract

fetched live from OpenAlex

Les politiques éducatives tendent à se placer sous l’égide du référentiel de l’efficacité. Il en résulte, de toutepart, de nouveaux modes de management public marqués par l’autonomie des établissements, la contractualisation, l’évaluation. Mais la quête d’efficacité passe également par une rationalisation pédagogique contribuant à faire évoluer les référents cognitifs de l’activité éducative. C’est l’hypothèse que nous explorons dans cet article, à propos de l’analyse du Renouveau collégial de 1993 au Québec, au cours duquel a été instauré un nouveau mode d’élaboration des curricula en termes d’approche par compétence. A partir de l’exemple des programmes d’études techniques, nous montrerons que la normalisation des compétences qui en résulte s’inscrit moins dans un renouvellement des théories de l’apprentissage que dans une structuration de la formation en fonction des exigences du marché, laissant ouverte la question des pédagogies requises à cette fin.

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)0.021
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.405
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0010.001
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 head0.446
GPT teacher head0.529
Teacher spread0.083 · 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