Adaptation aux changements climatiques en milieu urbain et approche globale des trames vertes
Bibliographic record
Abstract
De nombreuses « solutions » pour un climat de bonne qualité, l’adaptation aux changements climatiques ou encore l’amélioration de la biodiversité s’appuient sur une ville moins imperméable et avec une présence plus forte du végétal, de la nature. Associer le climat, l’urbain et la nature dans une même réflexion est ainsi aujourd’hui une nécessité. Parce qu’une telle association est encore rare, ont été réunis lors d’une journée d’étude des experts du génie urbain, des sciences de l’atmosphère, des sciences de la vie et des sciences de la société, pour que soient connus et partagés leurs regards sur la relation entre la ville, le climat et la nature végétale. Les réflexions engagées lors de cette journée sont présentées dans ce hors-série de [VertigO] – la revue électronique en sciences de l’environnement.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".