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Record W3211092631 · doi:10.7202/1083008ar

L’insertion professionnelle des enseignants au travers des multiples aspects de la socialisation au travail : l’ISaTE, un instrument de mesure pour les appréhender

2020· article· fr· W3211092631 on OpenAlexvenueno aff
Thibault Coppe, Isabel Raemdonck, Virginie März, Michaël Parmentier, Quentin Brouhier, Stéphane Colognesi

Bibliographic record

VenueMesure et évaluation en éducation · 2020
Typearticle
Languagefr
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesSociologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Cette étude présente la conception et le processus de validation d’un instrument de mesure de la socialisation au travail des enseignants débutants. Un total de 1487 enseignants de différents niveaux d’enseignement obligatoire ont été interrogés. Les fondations théoriques ainsi que les analyses factorielles exploratoires et confirmatoires mettent en évidence quatre dimensions de socialisation au travail : la socialisation au groupe de travail, au climat micropolitique, aux tâches d’enseignement ainsi qu’à l’organisation. L’instrument proposé présente, en respect de différents critères consensuels quant aux processus de validation d’échelles, des arguments de validité élevés. Cette contribution nourrit l’enjeu majeur d’une approche globalisante de l’insertion des enseignants qui va au-delà des approches centrées sur le travail de l’enseignant en classe.

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)0.017
metaresearch head score (Gemma)0.037
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.037
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0020.003
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.133
GPT teacher head0.364
Teacher spread0.231 · 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 designBench or experimental
Domainnot available
GenreMethods

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

Citations13
Published2020
Admission routes1
Has abstractyes

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