Une cartographie de conflits socio-écologiques associés à l’extractivisme dans une perspective critique d’éducation relative à l’environnement
Bibliographic record
Abstract
Nous rapportons ici le processus collaboratif de construction d’une cartographie de conflits socio-écologiques associés à l’expansion de l’extractivisme au Québec et au Chili, développée dans le cadre du projet de recherche Resistaction1. Nous situons d’abord quelques repères théoriques principaux sur la cartographie participative et décrivons ensuite sommairement notre recherche, le contexte dans lequel elle s’inscrit et ses choix, nous attardant sur les particularités et les enjeux de la démarche cartographique réalisée. Quelques résultats préliminaires sont présentés et mis en évidence au regard des contextes des deux réalités étudiées. Finalement, nous abordons la signification du processus cartographique dans une perspective d’éducation relative à l’environnement socialement critique.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.014 |
| Science and technology studies | 0.009 | 0.021 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".