MétaCan
Menu
Back to cohort
Record W2753961943 · doi:10.4000/ticetsociete.2236

Articuler les dimensions constitutives de l’éducation aux médias

2017· article· fr· W2753961943 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTic & société · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation and Digital Technologies
Canadian institutionsUniversité TÉLUQ
Fundersnot available
KeywordsMaterials science

Abstract

fetched live from OpenAlex

Cet article procède à l’analyse critique des écrits de langue anglaise en éducation aux médias. Il en présente les dimensions constitutives et les particularités. Il caractérise l’éducation aux médias en tant que champ récent et distinct, actuellement en croissance rapide. Ce champ est constitué de savoirs théoriques, de pratiques pédagogiques, de compétences recherchées et de politiques publiques. Ces éléments sont introduits et détaillés. Cet article articule également trois critiques des écrits savants. Ceux-ci entretiennent une confusion conceptuelle croissante quant à l’organisation des savoirs et des compétences qu’ambitionnent de développer les pratiques pédagogiques mobilisées en éducation aux médias. Ils peinent ensuite à articuler les dimensions constitutives du champ en cohérence les unes avec les autres. Finalement, l’analyse des politiques publiques, plus particulièrement des curriculums scolaires, est lacunaire. Les connaissances sur les contenus curriculaires et les pratiques mobilisées en milieu scolaire restent à être développées.

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.

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)0.000
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.694
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.004
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.324
GPT teacher head0.488
Teacher spread0.164 · 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