Applicability of Territorial Innovation Models to Declining Resource-Based Regions: Lessons from the Northern Peninsula of Newfoundland
Bibliographic record
Abstract
Resource dependent rural regions often struggle in the face of globalization and the movement towards a knowledge-based economy. Drawing on new regionalist literature related to territorial innovation models, this paper investigates the applicability of regional innovation systems and the quadruple helix of government, university, industry and community collaboration in innovation within the Great Northern Peninsula of Newfoundland and Labrador, a struggling rural resource-based region. The research finds key factors, including a weak and dispersed private sector and a lack of resources at the municipal level, limit the effectiveness of territorial innovation model recommendations to spur innovation. Other elements of territorial innovation models related to learning, network facilitation, increased knowledge flows and connections with post-secondary institutions, and development of a shared vision and action plan could, however, benefit the region. Keywords: rural; territorial innovation models; regional innovation systems; quadruple helix Applicabilité des modèles d'innovation territoriaux sur le déclin des régions à ressources: leçons de la péninsule septentrionale de Terre-Neuve Résumé Les régions rurales dépendantes des ressources luttent souvent face à la mondialisation et au mouvement vers une économie de la connaissance. S'appuyant sur une nouvelle littérature régionaliste liée aux modèles d'innovation territoriale, cet article examine l'applicabilité des systèmes d'innovation régionaux et la quadruple hélice de la collaboration gouvernementale, universitaire, industrielle et communautaire dans l'innovation dans la grande péninsule du nord de Terre-Neuve-et-Labrador, une région rurale en difficulté basée sur les ressources. La recherche révèle que des facteurs clés, notamment un secteur privé faible et dispersé ainsi qu'un manque de ressources au niveau municipal, limitent l'efficacité des recommandations du modèle d'innovation territoriale pour stimuler l'innovation. D'autres éléments des modèles d'innovation territoriale liés à l'apprentissage, à la facilitation des réseaux, à l'augmentation des flux de connaissances et des liens avec les établissements d'enseignement postsecondaire, ainsi qu'à l'élaboration d'une vision et d'un plan d'action partagés pourraient toutefois bénéficier à la région.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".