Technopoles et trajectoires stratégiques : le cas de la ville de Laval (Québec)
Bibliographic record
Abstract
Le phénomène technopolitain a pris une dimension importante dans les stratégies de développement local depuis les années 1980. Toutefois, dès lors qu'on tente d'observer les différentes formes de la technopole, on se rend compte qu'elles présentent des réalités diverses. Cet article est consacré à l'évaluation de la trajectoire stratégique de la technopole, en questionnant plus particulièrement les formes de développement rassemblées sous l'appellation technopole. Tout d'abord, il apporte quelques éléments de compréhension sur les aspects importants du développement technopolitain et sur les types de technopoles recensés dans la littérature. Ensuite, l'analyse s'attarde sur le cas de la ville de Laval (Québec, Canada), devenue technopole en 1995, et cherche à identifier la trajectoire technopolitaine qu'elle adopte. Enfin, la dernière partie propose une nouvelle typologie des technopoles à la lumière des conclusions et des leçons tirées de notre étude empirique.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".