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Record W2791679172 · doi:10.7202/1043356ar

L’anxiété des élèves en milieu scolaire telle que perçue par des enseignants du primaire

2018· article· fr· W2791679172 on OpenAlexaffvenue
Véronique Lambert-Samson, Claire Beaumont

Bibliographic record

VenueEnfance en difficulté · 2018
Typearticle
Languagefr
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical sciencePsychologyPhilosophy

Abstract

fetched live from OpenAlex

Cette étude exploratoire menée auprès de douze enseignants du primaire (1reà 6eannée) vise à vérifier leurs connaissances théoriques, leurs pratiques de même que les sources qui ont contribué à leurs savoirs actuels concernant l’anxiété des élèves. Des entrevues ont permis de relever les connaissances et les interventions déclarées par le personnel enseignant et d’explorer les fondements les soutenant. Les résultats révèlent que les connaissances des enseignants quant aux manifestations de l’anxiété, ses causes et les interventions à pratiquer sont limitées. Les principales sources de leurs connaissances sont issues de leurs expériences personnelles et professionnelles et très peu de leurs formations initiale ou continue. De nouvelles pistes d’intervention et de recherche sont proposées pour améliorer les formations initiale et continue des enseignants et contribuer au développement de leur compétence pour venir en aide aux élèves qui vivent de l’anxiété à l’école primaire.

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)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.024
GPT teacher head0.304
Teacher spread0.280 · 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 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

Citations7
Published2018
Admission routes2
Has abstractyes

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