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Record W4414695828 · doi:10.26443/mje/rsem.v59i2.10108

Pratiquer le dialogue philosophique avec les adolescents : comment favoriser une plus grande prise de conscience des apprentissages chez les élèves

2025· article· fr· W4414695828 on OpenAlexaffvenue
Mathieu Gagnon, Adolfo Agúndez-Rodríguez, Amélie Richard, Laurent Theis, Olivier Michaud

Bibliographic record

VenueMcGill Journal of Education / Revue des sciences de l éducation de McGill · 2025
Typearticle
Languagefr
FieldPsychology
TopicEducational and Psychological Assessments
Canadian institutionsUniversité du Québec à RimouskiUniversité de SherbrookeUniversité Laval
Fundersnot available
KeywordsConscienceHappeningPerceptionDisenchantment

Abstract

fetched live from OpenAlex

La pratique du dialogue philosophique avec les jeunes connait un essor important au niveau international. Or, puisque celle-ci prend régulièrement forme à l’intérieur d’un contexte scolaire, dont l’une des missions est de susciter des apprentissages, il devient précieux d’entreprendre des études visant à documenter ceux effectués par les élèves, dont la conscience qu’ils∙elles en ont. Les études à cet égard, dont celles visant à comparer cette conscience au regard d’une variété de dispositifs, sont inexistantes. C’est ce qui est examiné dans le cadre de cet article, un examen qui conduit à penser que la manière dont sont construites les séquences d’apprentissage peut avoir des répercussions sur la perception que les élèves se font des apprentissages qu’ils effectuent en philosophie.

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)0.009
metaresearch head score (Gemma)0.018
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 score0.009
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.008
Scholarly communication0.0050.004
Open science0.0010.004
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0040.001

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 head0.297
GPT teacher head0.458
Teacher spread0.161 · 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 routes2
Has abstractyes

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