Compétitivité, territoires et échelles de gouvernance : l’exemple canadien
Bibliographic record
Abstract
L’exigence de compétitivité est devenue incontournable dans tous les grands pays occidentaux. Pourtant, l’examen attentif de la littérature sur ce sujet (rapports officiels, articles, ouvrages spécialisés) démontre que la compétitivité territoriale est un concept multi scalaire ; les tenants et les aboutissants de la compétitivité s’inscrivent dans des échelles géographiques variées. Le Canada, par son immensité et son organisation fédérale, illustre ce paradoxe. Alors que la compétitivité des nations semble s’imposer comme un objectif prioritaire des politiques gouvernementales, une part importante de la performance économique reste déterminée par des facteurs infra/supranationaux. Nous allons donc tenter d’expliquer, à partir de l’exemple du Canada, la manière dont la compétitivité s’observe et se pilote à plusieurs échelles géographiques.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".