Developing a Knowledge Infrastructure to Foster Regional Innovation in the Periphery: A Study from Quebec's Coastal Region in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Melançon Y. and Doloreux D. Developing a knowledge infrastructure to foster regional innovation in the periphery: a study from Quebec's coastal region in Canada, Regional Studies. Building on the case study of Quebec's coastal region maritime industry, the relevance of the regional innovation system framework to analyse and plan innovation development in the periphery is discussed. The analysis indicates that in Quebec's coastal region, while public policies using the regional innovation system framework have contributed to create a relatively well-developed knowledge infrastructure in the maritime industry, they have not yet succeeded in achieving the main goal of fostering a ‘competitive regional production system’. This case suggests that a ‘thickening’ of the knowledge infrastructure does not automatically lead to significant development in the productive system in peripheral regions.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it