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Record W4401180143 · doi:10.4000/1241v

Potentiel de l’action écologiste pour l’éducation écocitoyenne : le cas du Mouvement d’action régional en environnement

2023· article· fr· W4401180143 on OpenAlexvenueno aff
Alexis Legault, Adolfo Agúndez-Rodríguez

Bibliographic record

VenueÉducation relative à l environnement · 2023
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAction (physics)HumanitiesPhysicsArt

Abstract

fetched live from OpenAlex

Les difficultés qu’éprouve l’école québécoise à assurer l’éducation écocitoyenne des élèves appellent à considérer aujourd’hui les apports d’autres acteurs éducatifs. Parmi ces acteurs se trouvent les membres de groupes écologistes. Cet article traite des actions éducatives posées par le Mouvement d’action régional en environnement, afin de mieux en comprendre la nature et de déterminer comment un groupe écologiste comme celui-ci peut contribuer à l’éducation écocitoyenne d’élèves d’écoles primaires ou secondaires. Pour y parvenir, cette étude présente les types d’actions que pose ce groupe, les types de contextes éducatifs en jeu et les publics cibles de ses actions, mais aussi les types de citoyenneté priorisés, les collaborations réalisées et la portée géographique des actions éducatives entreprises.

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)0.004
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.159
Threshold uncertainty score0.315

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.006
Scholarly communication0.0050.002
Open science0.0010.005
Research integrity0.0020.002
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 head0.114
GPT teacher head0.327
Teacher spread0.213 · 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
Published2023
Admission routes1
Has abstractyes

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