Bibliographic record
Abstract
Abstract: The St. John's (Newfoundland and Labrador) ocean technology cluster arises from a natural regional interest and historical economic activities in the ocean, and a more recent series of public sector investments in research and educational facilities. The St. John's cluster is compared to a more developed Finnish Maritime cluster and some recent literature on clusters and economic development. The comparison indicates that government policy towards the St. John's cluster needs to shift emphasis from research per se to a stronger industrial presence, supported by research, and a background economic environment that is broadly attractive to business and individuals. An active domestic market in primary marine activities is identified as a potential base for a stronger ocean technology industries cluster. Government actions, including continued investments in education research and infrastructure, creation of an attractive tax environment and the use of government operational requirements in ocean activities to create support industry opportunities, are recommended. Sommaire: La grappe technologique océanique de St. John's (Terre‐Neuve et Labrador) découle d'un intérêt régional naturel et d'activités économiques historiques reliées à l'océan, ainsi que d'une série récente d'investissements du secteur public dans les établissements de recherche et d'enseignement. La grappe de St. John's est comparée à un groupement maritime finnois plus développé, avec l'appui de documents récents sur les grappes et le développement économique. L‘étude indique que la politique gouvernementale à l’égard de la grappe de St. John's doit changer d'emphase et passer de la recherche en soi à une présence industrielle plus forte qui s'appuie sur la recherche et sur un climat économique de fond qui soit plus attrayant pour les entreprises et les particuliers. On estime qu'un marché national actif en activités maritimes primaires pourrait servir de base à une grappe de technologies océaniques plus solide. Des mesures gouvernementales sont recommandées, notamment des investissements continus en recherche en éducation et infrastructure, la création d'un climat fiscal attrayant et le recours à des exigences opérationnelles gouvernementales dans les activités océaniques pour créer un soutien aux opportunités dans cette industrie.
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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 | 0.005 |
| 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 | 0.002 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".