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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 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)0.012
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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 score0.661
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.133
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 teacher head, not a consensus.

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

Citations13
Published2020
Admission routes1
Has abstractyes

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