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Record W2763949251

La différenciation pédagogique dans le Parcours de formation axée sur l’emploi : un répertoire de possibilités à développer

2017· article· fr· W2763949251 on OpenAlexaffvenue
Nadia Rousseau, Léna Bergeron

Bibliographic record

VenueCanadian Journal of Education / Revue canadienne de l éducation · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsHumanitiesSociologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Le Parcours de formation axee sur l’emploi (PFAE) constitue un niveau de differenciation organisationnel, ou les differences entre les eleves sont gerees au sein meme de l’etablissement par une repartition et une hierarchisation internes des structures scolaires. En d’autres mots, il s’agit la d’une diversification des parcours ayant pour objectif l’obtention d’un certificat de formation qualifiante destine aux jeunes ayant des defis scolaires importants. Cela dit, quelles sont les pratiques de di erenciations pedagogiques exploitees au sein meme de cette structure de qualification ? C’est par une recherche qualitative realisee dans huit ecoles secondaires que nous avons cherche a comprendre comment la differenciation pedagogique s’articule dans cette voie de formation.

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)0.008
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.986
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.015
Scholarly communication0.0090.009
Open science0.0010.009
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0100.002

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 head0.172
GPT teacher head0.388
Teacher spread0.217 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2017
Admission routes2
Has abstractyes

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