Penser la gouvernance de la biodiversité à travers l’analyse des dynamiques socio-écologiques
Bibliographic record
Abstract
Cet article propose des pistes pour repenser la gouvernance de la nature – notamment dans les espaces urbains à partir de l’étude des différentes représentations de la nature, de leur construction sociale et de la manière dont elles articulent les rapports de force entre acteurs.En effet, les nouvelles politiques d’aménagement favorables à la biodiversité heurtent les représentations socialement construites pendant ces dernières décennies qui considèrent certains espaces (la ville) comme totalement dédiés aux humains, ce qui conduit souvent à des conflits. Nous plaidons ici pour l’analyse critique des processus sociétaux menant à ces conceptions conflictuelles de la nature à travers la prise en considération des dynamiques interactives entre les acteurs humains et non-humains du système. Ces recherches pourraient participer à la résolution de conflits socio-écologiques potentiels.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".