Bibliographic record
Abstract
Lieux majeurs de toutes les accumulations matérielles, sociales et économiques, les villes sont au cœur de la question des changements climatiques. Leur avenir dépendra de notre capacité à inventer des espaces urbains habitables, justes et résilients. Les auteurs font ici le pari d'une action collective capable de transformer les menaces en force constructrice, de maîtriser la vulnérabilité des espaces urbanisés tout en renforçant leur résilience. Pour ce faire, il faut comprendre les formes et les structures de la ville contemporaine, afin d'orienter les politiques et la planification territoriale. Ce livre offre un recueil des connaissances les plus récentes sur l'adaptation des villes aux changements climatiques et rassemble les réflexions de professeurs-chercheurs et de professionnels non seulement du Québec mais aussi de France, de Suisse, des États-Unis et du Brésil. Les auteurs y analysent avec acuité certaines des controverses les plus pressantes sur le climat, sujet épineux et source de grandes préoccupations dans la population.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.035 | 0.006 |
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".