Dynamiques de développement territorial de MRC au Québec et contribution du secteur privé : études de cas comparatives
Bibliographic record
Abstract
L’objectif principal du projet intitulé « Dynamiques de développement territorial de MRC au Québec et contribution du secteur privé : études de cas comparatives » est\nd’identifier les facteurs influençant la dynamique territoriale des Municipalités régionales de comtés (MRC) afin de mieux comprendre les contraintes et les conditions de succès du développement des communautés rurales. Cet objectif ambitieux est poursuivi en mettant à contribution trois approches de recherche (annexe 1) et en comparant quatre MRC, dont deux, soit les MRC de Drummond et celle de Memphrémagog, désignées, eu égard aux indicateurs traditionnels de développement, comme des MRC performantes (fort développement) et deux autres, celles de Papineau et du Fjord-du-Saguenay, définies comme des MRC problématiques (fort potentiel1). Le contexte du passage au libre-échange canado-américain en 1988, puis à celui de l’ALÉNA en 1994 devenait un marqueur temporel afin de mesurer les modifications survenues avant et après 1991, année de recensement statistique.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.014 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".