MétaCan
Menu
Back to cohort
Record W3200662752 · doi:10.7202/1080654ar

Un modèle d’éducation relative à l’environnement visant à modifier la représentation des écosystèmes biorégionaux

2021· article· fr· W3200662752 on OpenAlexaffvenueabout
Diane Pruneau, Nathalie Breau, Omer Chouinard

Bibliographic record

VenueÉducation et francophonie · 2021
Typearticle
Languagefr
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsHumanitiesGeographyPhilosophy

Abstract

fetched live from OpenAlex

La valeur écologique des terres humides, habitats riches de vie et productifs, est parfois méconnue des gens en général et même des résidents des zones côtières. Des élèves de quatrième année, à Bathurst, au Nouveau-Brunswick, ont été interrogés pour identifier leur représentation des marais salés et leur relation affective avec ceux-ci. Ces enfants connaissaient très peu ce milieu et n’avaient pour la plupart développé aucune relation avec celui-ci. Un nouveau modèle d’éducation relative à l’environnement, de type expérientiel et biorégional, a été élaboré et expérimenté avec eux dans le but de rendre leur représentation des marais plus juste, plus détaillée et d’améliorer leur relation avec ceux-ci. Le modèle, tel qu’il a été appliqué, est parvenu à modifier leur représentation et leur relation, sauf en ce qui concerne la fréquence des visites dans ce type de site.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.068
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.001

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 head0.039
GPT teacher head0.299
Teacher spread0.260 · 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

Citations4
Published2021
Admission routes3
Has abstractyes

Explore more

Same venueÉducation et francophonieSame topicUrban Green Space and HealthFrench-language works237,207