Futurs résilients et adaptés : le rôle des imaginaires communs pour s’adapter aux changements climatiques
Bibliographic record
Abstract
Le changement climatique constitue un enjeu complexe, global, générateur d’incertitudes multiples, étendu dans le temps, et dont les impacts nécessitent aujourd’hui l’adaptation des systèmes humains et naturels. Or, l’adaptation fait face à un certain nombre de barrières – techniques, sociales, culturelles, cognitives – qui pourraient être en partie levées par la force motrice des récits, des imaginaires, et de la fiction. Cet article constitue un état de l’art original qui interroge l’apport des imaginaires collectifs et prospectifs dans l’adaptation aux changements climatiques. Nous concluons qu’il est nécessaire de mener davantage de travaux de recherches transdisciplinaires portant sur la scénarisation prospective citoyenne, en particulier élaborée à partir de récits locaux existants, nourrie d’imaginaires d’avenirs positifs, et guidée par des outils de fictionnalisation.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.029 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".