MétaCan
Menu
Back to cohort

L'éducation aux médias dans le Programme de formation de l'école québécoise: intégration, pratiques et problématiques

2015· article· fr· W1553908734 on OpenAlexaffvenueabout
Normand Landry, Joëlle Basque

Bibliographic record

VenueCanadian Journal of Education / Revue canadienne de l éducation · 2015
Typearticle
Languagefr
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsHEC MontréalUniversité TÉLUQ
Fundersnot available
KeywordsPolitical scienceSociologyHumanitiesArt

Abstract

fetched live from OpenAlex

Cet article interroge l’état de l’éducation aux médias au Québec. Pour ce faire, il introduit et définit d’abord cette notion, pour ensuite présenter et problématiser ses ancrages dans le Programme de formation de l’école québécoise. Cet article soulève également la question de la formation des enseignants, notamment par une analyse des formations universitaires offertes dans les universités québécoises et quatre entrevues de groupes réalisées avec des enseignants de niveaux primaire et secondaire. La synthèse effectuée permet de conclure que les enseignants rencontrent deux obstacles importants dans leurs pratiques pédagogiques sur ces questions : un ancrage problématique de l’éducation aux médias dans le PFÉQ appelant à une révision de la structure d’intégration et à une mise à jour des contenus, et un support minimal offert par le système scolaire québécois en matière d’éducation aux médias qui se traduit par la rareté des formations, des ressources et des appuis institutionnels.

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)0.005
metaresearch head score (Gemma)0.009
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 score0.108
Threshold uncertainty score0.415

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0140.011
Scholarly communication0.0080.004
Open science0.0010.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0130.000

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 head0.088
GPT teacher head0.300
Teacher spread0.213 · 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
Published2015
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Education / Revue canadienne de l éducationSame topicLiteracy, Media, and EducationFrench-language works237,207