Les compétences d’adaptation aux changements climatiques démontrées par des employés municipaux d'une communauté côtière canadienne
Bibliographic record
Abstract
L’adaptation aux inondations deviendra bientot une necessite pour plusieurs communautes cotieres canadiennes menacees par les changements climatiques. Certaines competences humaines peuvent faciliter l’adaptation. La recherche visait a decrire les competences demontrees par des employes municipaux durant l’adaptation a l'elevation du niveau de la mer. Les participants aux ateliers ont explore le probleme, propose des solutions et implante des mesures d’adaptation. L'analyse des verbatim des ateliers et la construction de recits de pratique ont permis l’identification de competences propices a l’adaptation : resolution de problemes, pensee prospective, prediction des risques, analyse de la vulnerabilite et de la capacite communautaire d’adaptation, connaissance du milieu, planification strategique et communication.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".