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Record W4414311213 · doi:10.7202/1119552ar

Explorer l’opinion des jeunes quant aux ateliers d’éducation à la sexualité du programme Étincelles : pour des relations intimes positives et sans violence

2025· article· fr· W4414311213 on OpenAlexaffvenueabout
Pénélope Allard-Cobetto, Estelle Piché, Mylène Fernet, Martine Hébert

Bibliographic record

VenueNouveaux cahiers de la recherche en éducation · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPoison controlPortraitQuantitative methodologyParaphernalia

Abstract

fetched live from OpenAlex

La violence entre partenaires intimes (VPI) est une problématique de santé publique qui affecte une proportion importante de personnes adolescentes. De ce fait, différents programmes de prévention sont développés pour sensibiliser les jeunes. Le programme Étincelles, offert en milieu scolaire au Québec, vise à promouvoir les relations intimes positives et à prévenir la violence chez les jeunes par le biais d’ateliers en classe. Cette étude qualitative avait pour objectif de documenter l’appréciation des jeunes quant aux ateliers du programme Étincelles et recueillir leurs recommandations. Après avoir participé aux ateliers, 30 jeunes (M = 15,6 ans; ÉT = 0,85) ont indiqué avoir apprécié le dynamisme des activités, ainsi que leur potentiel à générer des expériences éducatives significatives, tout en représentant adéquatement leur réalité. Ces constats établissent le programme comme une ressource pédagogique pertinente à l’éducation à la sexualité auprès des adolescents, et permettent de brosser un portrait des notions essentielles, selon les élèves, à incorporer à ces enseignements.

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)0.008
metaresearch head score (Gemma)0.013
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.141
Threshold uncertainty score0.279

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0070.005
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0020.004
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 head0.394
GPT teacher head0.516
Teacher spread0.122 · 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

Citations0
Published2025
Admission routes3
Has abstractyes

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