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Record W7164938103 · doi:10.7202/1126132ar

La pédagogie du droit à l’ère de la transition socioécologique : pour une démarche tranquille, conviviale et collective vers la postcroissance

2025· article· fr· W7164938103 on OpenAlexaff
Alexandre Lillo

Bibliographic record

VenueCommunitas · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsContext (archaeology)Private lifeProposition

Abstract

fetched live from OpenAlex

Partant du postulat selon lequel la transition socioécologique peut être appuyée par la pédagogie du droit, cette étude explore la façon dont cette dernière peut être repensée pour être plus alignée avec les impératifs écologiques actuels. En mobilisant les théories postcroissance comme leviers de cette transition, l’article explore dans un premier temps les raisons pour lesquelles l’enseignement du droit en milieu universitaire est un contexte nécessitant une évolution des pratiques et un changement de culture. Il établit dans un second temps les fondements à partir desquels imaginer ce que serait une pédagogie du droit contribuant à la transition socioécologique vers la postcroissance. La proposition effectuée est ainsi axée autour de trois caractéristiques : celle d’une pédagogie tranquille basée sur le ralentissement, celle d’une pédagogie conviviale construite autour du plaisir et celle d’une pédagogie collective bâtie sur des relations harmonieuses.

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)0.003
metaresearch head score (Gemma)0.003
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 score0.011
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.011
Scholarly communication0.0060.005
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.030
GPT teacher head0.338
Teacher spread0.309 · 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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