MétaCan
Menu
Back to cohort
Record W2593743313 · doi:10.7202/1039088ar

Interagir pour apprendre en gestion de classe au secondaire : analyse du discours des futurs enseignants dans un espace collaboratif

2017· article· fr· W2593743313 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.

Bibliographic record

VenuePhronesis · 2017
Typearticle
Languagefr
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Afin de soutenir le développement professionnel des futurs enseignants au secondaire lors de leur formation initiale universitaire, et ce, en lien avec le concept de praticien réflexif dans une approche par compétence, un design pédagogique novateur fut mis en place dans un cours dédié à la gestion de classe. En effet, ce design, inspiré des principes de la communauté d’apprentissage (Brown, 1994), a amené les étudiants-stagiaires à développer un discours collectif sur leur pratique professionnelle à travers les enjeux propre à la gestion de classe au secondaire et à leurs préoccupations lors d’un stage de cinq semaines. Nous faisons la prémisse que la participation à l’élaboration d’un discours collectif sur les pratiques professionnelles permet aux étudiants de, non seulement, réfléchir sur leur pratique, mais de faire des apprentissages professionnels durables. Ainsi, notre étude s’attarde à l’engagement des étudiants dans l’élaboration du discours collectif et aux actions leur permettant de faire avancer celui-ci.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.038
GPT teacher head0.363
Teacher spread0.325 · 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