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Record W2619245590 · doi:10.4000/ere.441

Éducation et engagement : La participation de l’École à relever les défis environnementaux et de développement

2015· article· fr· W2619245590 on OpenAlexvenueno aff
Jean-Marc Langé

Bibliographic record

VenueÉducation relative à l environnement · 2015
Typearticle
Languagefr
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesSociologyPhilosophy

Abstract

fetched live from OpenAlex

Cet article vise à proposer des repères théoriques permettant de penser et de dépasser les tensions, voire les contradictions, pouvant exister entre la volonté émancipatrice de l’éducation et la finalité d’engagement. Ces tensions seront examinées selon un cadre de pensée pragmatiste. Après avoir clarifié les principes et les caractéristiques d’un curriculum acceptable pour l’éducation au développement durable, nous examinerons les éléments d’un modèle anthropologique, pédagogique et didactique pour cette éducation. Ces éléments conduiront à proposer un schéma général permettant de rendre opératoire une finalité d’engagement au service d’une citoyenneté éco-responsable dans le cadre de l’institution scolaire. Des indicateurs permettront l’élaboration d’un indice synthétique capable de rendre compte des dynamiques éducatives à l’œuvre dans les projets de développement humain durable menés à l’échelle des établissements scolaires et des territoires.

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)0.008
metaresearch head score (Gemma)0.009
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: none
Teacher disagreement score0.012
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.023
Scholarly communication0.0120.007
Open science0.0010.012
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.058
GPT teacher head0.365
Teacher spread0.307 · 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

Citations24
Published2015
Admission routes1
Has abstractyes

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