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Record W3204714183 · doi:10.3917/es.046.0129

Le rapport au droit et à la justice d’enseignants québécois : discours et interventions au quotidien

2021· article· fr· W3204714183 on OpenAlexaffabout
Maryse Potvin, David Lefrançois, Marc–André Éthier, Stéphanie Demers, Laurent Paradis-Charrette, Amélie Cambron-Prémont

Bibliographic record

VenueEducation et sociétés · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicLegal Issues in Education
Canadian institutionsUniversité du Québec en OutaouaisUniversité du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy

Abstract

fetched live from OpenAlex

Cet article présente les résultats préliminaires d’une recherche en cours sur le rapport des enseignants du primaire et du secondaire avec la justice et le droit, à travers leurs discours et interventions du quotidien (chantier Éducation juridique en milieu scolaire du partenariat CRSH –Accès au droit et à la justice). L’objectif général est de saisir comment des enseignants conçoivent la justice, le droit et la citoyenneté dans leur vie quotidienne et leur pratique professionnelle : connaissent-ils leurs rôles et les cadres normatifs qui s’appliquent ? Les données présentées sont issues de deux groupes d’entretien avec des enseignants de diverses disciplines, n’enseignant pas spécifiquement les cours d’éthique ou d’éducation à la citoyenneté. À partir de l’approche inclusive et des typologies d’Ewick et Silbey (1998), de Westheimer et Kahne (2004), l’article se penche sur les types –passif, participatif ou critique et contestataire– de rapport subjectif au droit et à la citoyenneté qui se dégagent du discours des enseignants à partir des situations et des interventions de leur quotidien, en comparant les discours des deux groupes.

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)0.013
metaresearch head score (Gemma)0.037
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 score0.257
Threshold uncertainty score0.516

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.037
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0210.011
Scholarly communication0.0070.003
Open science0.0020.008
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0120.001

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 head0.119
GPT teacher head0.497
Teacher spread0.378 · 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

Citations3
Published2021
Admission routes2
Has abstractyes

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Same venueEducation et sociétésSame topicLegal Issues in EducationFrench-language works237,207