La revitalisation des espaces centraux : enjeux et voies d’avenir pour les villes moyennes
Bibliographic record
Abstract
Cette publication est une contribution à la réflexion sur la revitalisation intégrée des espaces centraux des villes moyennes. Elle réunit les textes de chercheurs et de praticiens présentés lors du colloque La revitalisation intégrée des espaces centraux : enjeux et voies d’avenir pour les villes moyennes tenu les 18 et 19 novembre 2010 à l’Université du Québec à Chicoutimi. On y a examiné les enjeux de l’aménagement et du développement social, culturel, économique et environnemental des centres urbains des villes moyennes selon la perspective de la revitalisation intégrée. Centré sur les villes petites ou moyennes, ce livre met l’accent sur la participation, la mobilisation et l’action démocratique, composantes nécessaires des solutions aux difficultés que connaissent ces villes. Les praticiens du développement, les étudiants et les chercheurs y trouveront matière à poursuivre leurs pratiques et leurs réflexions.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.018 | 0.014 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 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".