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Record W4289450816 · doi:10.7202/1090444ar

Travail collaboratif avec des enseignants et transformation de subjectivités

2022· article· fr· W4289450816 on OpenAlexvenueno aff
Patricia Sadovsky, José Antonio Castorina

Bibliographic record

VenueÉthique en éducation et en formation Les Dossiers du GREE · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesSociologyPhilosophy

Abstract

fetched live from OpenAlex

Dans cet article, nous problématisons les relations entre l’activité réflexive des enseignants sur leur propre travail, la production de savoirs sur l’enseignement et les transformations de leur subjectivité. Notre analyse prend appui sur des échanges systématiques autour de questions pédagogiques dans un groupe d’enseignants et des chercheurs en didactique des mathématiques. L’examen attentif des productions des élèves dans un cadre d’analyse critique de l’enseignement a été un événement majeur pour les enseignants, car ils ont réinterprété les rapports des élèves aux savoirs. Ce travail analytique a modifié la perception que les enseignants avaient d’eux-mêmes quant à leurs possibilités de s’engager dans une production intellectuelle fondée sur une réflexion concernant leur propre activité professionnelle. Le travail collaboratif a permis d’imaginer des solutions nouvelles aux problèmes posés par la pratique enseignante. C’est dans cette possibilité créatrice que réside la transformation de la subjectivité.

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)0.014
metaresearch head score (Gemma)0.025
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 score0.014
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.025
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0090.016
Scholarly communication0.0140.009
Open science0.0010.012
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0140.002

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 head0.126
GPT teacher head0.392
Teacher spread0.266 · 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
Published2022
Admission routes1
Has abstractyes

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