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Record W3137979672 · doi:10.7202/1075720ar

IMPACT DE LA FORMATION ET DE L’ACCOMPAGNEMENT PÉDAGOGIQUE DESTINÉS AUX NOUVEAUX PROFESSEURS D’UNIVERSITÉ SUR LEUR TÂCHE RÉELLE : COMPARAISON INTERNATIONALE (CANADA–FRANCE)

2021· article· fr· W3137979672 on OpenAlexaffvenueabout
France Gravelle, Louise Ménard, Christian Hoffmann, Geneviève Lameul, Denis Bédard, Diane Leduc, Christian Bégin

Bibliographic record

VenueMcGill Journal of Education / Revue des sciences de l éducation de McGill · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicEvaluation of Teaching Practices
Canadian institutionsUniversité de SherbrookeUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophyArt

Abstract

fetched live from OpenAlex

Cet article présente une partie des résultats issus d’une recherche qualitative internationale qui a été menée au Canada et en France qui s’intitule « Effets de la formation et de l’accompagnement pédagogiques sur les pratiques des nouveaux professeurs d’université et leurs étudiants ». Considérant que la tâche réelle d’un professeur d’université a été soumise à de nombreux changements depuis ces dernières années, plusieurs universités ont décidé de développer des dispositifs de formation et d’accompagnement pédagogique, afin de préparer les nouveaux professeurs à exercer leurs fonctions. Après quelques années d’existence, peu de recherches portent sur leurs effets. Cet article a pour but de présenter les résultats qui semblent avoir eu un impact sur l’expérience d’enseignement vécue pendant le déroulement de la recherche.

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)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.951
Threshold uncertainty score0.629

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.030
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0060.004
Scholarly communication0.0080.003
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.467
GPT teacher head0.512
Teacher spread0.045 · 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 designObservational
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

Citations2
Published2021
Admission routes3
Has abstractyes

Explore more

Same venueMcGill Journal of Education / Revue des sciences de l éducation de McGillSame topicEvaluation of Teaching PracticesFrench-language works237,207