MétaCan
Menu
Back to cohort
Record W3212020394 · doi:10.1522/rhe.v5i1.1258

Développer les compétences émotionnelles des futurs enseignants en stage et diminuer leur stress perçu grâce à un programme d’intervention : une étude exploratoire

2021· article· fr· W3212020394 on OpenAlexaffvenue
René Langevin, Angélique Laurent

Bibliographic record

VenueRevue hybride de l éducation · 2021
Typearticle
Languagefr
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversité de SherbrookeUniversity of Alberta
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

L’objectif de cette étude exploratoire est d’observer les effets d’un programme portant sur les compétences émotionnelles (CE) offert à de futur.e.s enseignant.e.s durant leur stage, l’amélioration de leurs CE et de leur niveau de stress perçu. Les cinq composantes de base des CE et le stress perçu ont été évalués avant et après l’intervention. Malgré un nombre restreint de participant.e.s, les résultats suggèrent une diminution du niveau de stress et une augmentation de la plupart des CE des participant.e.s du groupe expérimental en cours de stage. Ces résultats appuient ceux mis en lumière dans certaines études antérieures qui traitent de questions similaires.
 

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)0.001
metaresearch head score (Gemma)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.358
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.114
GPT teacher head0.345
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 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
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueRevue hybride de l éducationSame topicMotivation and Self-Concept in SportsFrench-language works237,207