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Record W2768077927 · doi:10.18162/fp.2015.a69

Les dimensions motivationnelles associées aux valeurs : leurs rôles dans la transition identitaire des enseignants en formation professionnelle

2015· article· fr· W2768077927 on OpenAlexaffvenue
Andréanne Gagné

Bibliographic record

VenueFormation et profession · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsSociologyPolitical science

Abstract

fetched live from OpenAlex

Transmetteurs de connaissances, d'habilets, mais aussi de culture, les individus qui choisissent de devenir enseignants en formation professionnelle (FP) se trouvent au coeur de la formation des travailleurs des mtiers spcialiss et semispcialiss au Qubec (Deschenaux et Roussel, 2010; Ministre de l'ducation du Qubec [MEQ], 2001). Alors qu'ils oprent la transition du mtier qu'ils occupent vers son enseignement dans les centres de formation professionnelle, l'importance de l' exprience et de l'identit de mtier sont des caractristiques reconnues comme base de leur enseignement Toutefois, qu' en est-il des valeurs hrites de la carrire initiale et des motivations qu' elles soustendent? Il est dit que les valeurs se consolident travers les expriences antrieures motivant les comportements, les attitudes et les dcisions des personnes Il apparait donc pertinent de s'y intresser pour mieux comprendre et appuyer la phase cruciale d'insertion dans la carrire enseignante Le projet de mmoire rsum dans le prsent article a identifi les valeurs d' enseignants en FP. Il est dcrit sous l'angle des motivations que sous-tendent ces valeurs et des rles qu' elles remplissent dans le dveloppement de leur nouvelle identit d' enseignant.

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.006
Open science0.0000.000
Research integrity0.0010.001
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 head0.352
GPT teacher head0.460
Teacher spread0.108 · 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 designQualitative
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

Citations1
Published2015
Admission routes2
Has abstractyes

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