Bibliographic record
Abstract
Le nord québécois est un milieu géographique complexe et relativement peu connu. L’adoption en 2011 du Plan Nord par le gouvernement du Québec a suscité un renouveau d’intérêt envers cet espace singulier, malgré les aléas du projet. Cet article vise donc à faire un tour d’horizon des grands enjeux et défis qui touchent ce territoire. Sur le plan théorique, nous proposons une voie moyenne entre l’approche traditionnelle qui favorise les interventions de l’État et celle qui prône de laisser les populations autochtones nordiques planifier et réaliser des démarches d’auto-développement. Cet exercice se fera à l’aide d’une revue de la littérature et d’une réflexion sur le rôle des politiques publiques en matière de développement social, économique et territorial. Neufs thèmes ou défis majeurs seront abordés afin de contextualiser et d’alimenter la discussion.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".