Bibliographic record
Abstract
Le Québec est un territoire composé d’une diversité d’espaces urbains, ruraux, régionaux, métropolitains, côtiers et nordiques. Il est en mouvance : polarisation des lieux à différents degrés, érosion de zones rurales et urbaines, extension des lisières périurbaines, densification de nouvelles formes territoriales. La politique publique québécoise tente de saisir et de comprendre globalement les contextes territoriaux particuliers et évolutifs afin d’y appliquer des mesures en ce qui a trait à l’aménagement d’infrastructures et d’équipements, à la gestion de biens et de services collectifs et au soutien aux initiatives économiques, sociales et culturelles. Les textes rassemblés dans le présent ouvrage jettent une nouvelle lumière sur la politique territoriale du Québec, sur son évolution autant que sur ses limites. Des experts universitaires y modélisent les tenants et aboutissants du chemin parcouru dans ce domaine au cours des dernières décennies. Ils proposent de solides perspectives d’analyse ainsi que des options concrètes pour l’amélioration des actions et des interventions publiques territorialisées.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 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 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".