Regards interdisciplinaires pour une meilleure adaptation territoriale aux changements climatiques
Bibliographic record
Abstract
Un colloque réunissant chercheurs en sciences sociales et naturelles, agents territoriaux et élus de la région Nouvelle-Aquitaine s’est intéressé à l’articulation des sciences et des sociétés dans le défi de l’adaptation des changements climatiques. Des expérimentations locales et des avancées de la recherche ont été présentées et des différents points de vue ont été partagés. De jeunes chercheurs ont discuté de la nouvelle place des scientifiques dans l’action climatique et de la vision anthropocentrée, de la dimension économique de l’adaptation et des verrous à la prise de décision. La nécessité de structurer des espaces d’échanges entre acteurs territoriaux, de créer un langage commun, de tenir compte du vivant et de la dimension socioculturelle a émergé de cette rencontre, visant à renforcer les moyens de l’efficience des stratégies d’adaptation territoriales.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".