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Record W7127377554 · doi:10.7202/1122936ar

Les enjeux et les justifications de décisions pour l’éducation numérique et la pédagogie différenciée

2025· article· fr· W7127377554 on OpenAlexvenueno aff
Payn Mathieu

Bibliographic record

VenueMesure et évaluation en éducation · 2025
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsESPACEIdentity (music)Context (archaeology)Identification (biology)

Abstract

fetched live from OpenAlex

Cet article analyse les discours portés par des personnes décisionnaires d’éducation numérique sur un territoire donné à propos du matériel numérique scolaire. Explicitant la mission de l’école, la pédagogie différenciée et son approche dans l’idéologie humaniste, l’auteur cherche par l’analyse de discours à identifier les conditions des décisions prises. Il tente de caractériser les postures adoptées par ces personnes dans cet espace décisionnel spécifique, ainsi que les justifications apportées à ces décisions et l’idéologie sous-jacente. Les résultats montrent que les enjeux de marché dépassent ceux de la technique et de la pédagogie. Cette entrave enjoint les praticiens et les praticiennes de pédagogie différenciée ainsi que les chercheurs et les chercheuses à adopter une posture critique au-delà d’une technophilie ou d’une technophobie par rapport aux valeurs véhiculées dans les discours technologiques et les artefacts numériques qui leur sont soumis.

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)0.014
metaresearch head score (Gemma)0.046
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.046
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0060.015
Scholarly communication0.0100.005
Open science0.0010.006
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0100.002

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 head0.471
GPT teacher head0.488
Teacher spread0.017 · 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 designNot applicable
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 routes1
Has abstractyes

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