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Record W1592037869 · doi:10.4000/lidil.3488

Adaptation d’un outil méthodologique pour l’analyse de pratiques enseignantes

2014· article· fr· W1592037869 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueLidil · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsAdaptation (eye)HumanitiesPsychologyPhilosophyNeuroscience

Abstract

fetched live from OpenAlex

Dans cette contribution, nous exposons la démarche méthodologique suivie pour analyser des données issues de l’observation filmée de pratiques d’enseignants. Celle-ci a été développée au cours de notre recherche doctorale portant sur les pratiques d’enseignement de la grammaire au secondaire québécois. Nous avons choisi d’utiliser le synopsis, un outil méthodologique spécialisé, pour décrire et comprendre les pratiques observées en classe. Pour construire cet outil, nous nous sommes inspirée des travaux d’autres chercheurs en didactique du français l’ayant adapté et utilisé pour la description des pratiques d’enseignement et des objets enseignés. Nous présentons plus en détail la réflexion heuristique entourant la démarche d’élaboration du synopsis dans le but de faire ressortir, d’une part, les apports de cet outil et, d’autre part, les écueils à éviter lors de son adaptation.

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)0.008
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.395
Threshold uncertainty score0.734

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.309
GPT teacher head0.446
Teacher spread0.136 · 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