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Record W7028580443

Ethnographie du mouvement des jardins pédagogiques\ndes écoles primaires de la MRC de Portneuf au prisme \nde l’éducation à l’environnement

2023· other· fr· W7028580443 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languagefr
FieldMedicine
TopicCardiovascular Issues in Pregnancy
Canadian institutionsnot available
Fundersnot available
KeywordsEthnographyMeaning (existential)ESPACEContext (archaeology)Publics
DOInot available

Abstract

fetched live from OpenAlex

Ce mémoire est une recherche anthropologique sur les manières dont l'éducation à l'environnement s'insère dans les initiatives de jardins pédagogiques des écoles primaires de la MRC de Portneuf, au Québec (Canada). En tant que véhicule de l'éducation à l'environnement, le jardinage pédagogique en milieu scolaire est un lieu où le politique, l'éducation et l'écologie s'enchevêtrent. À partir d'une écologie politique de l'éducation, ce mémoire interroge les processus politiques et économiques de l'éducation qui sont susceptibles d'affecter la relation des humains avec l'environnement. Cette étude vise à révéler comment l'accessibilité aux ressources nécessaires au jardinage pédagogique en milieu scolaire est négociée par différents acteurs des échelles locale, régionale et provinciale. Elle permet aussi de démontrer la tension entre les approches de l'éducation à l'environnement véhiculées dans les initiatives de jardins pédagogiques et l'éducation au développement durable qui s'érige comme hégémonique dans l'arène des politiques éducatives gouvernementales.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.095
Threshold uncertainty score0.192

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.005
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.022
GPT teacher head0.310
Teacher spread0.288 · 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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