The Global Innovation Clusters: Canadian Experience of Public-Private Partnership
Bibliographic record
Abstract
Purpose of the article is the research of the modern trends of global innovation clusters development in Canada that based on public-private partnership model, and to identify their features during last years. The hypothesis is that it is possible to formulate the hypothesis that at the postwar period, Ukraine would form a new innovation strategy that will push country to become global competitively and innovatively. The methods of scientific research were applied to research the global innovation system of Canada and the development of Canada's superclusters: theoretical generalization, empirical method and methods of statistical analysis. The supercluster is a new initiative promoted by the Canadian federal government to strengthen Canada’s most promising clusters and allow innovative firms to operate more productively in sourcing inputs and accessing information, knowledge, and technology. The Innovation superclusters have many positive characteristics as a new framework to rethink Canada’s innovation strategy based on public-private partnership model. The specific measures for development of industrial clusters in Ukraine at the postwar period, and elaboration of national strategy for the development of innovation system in Ukraine can be research objects in future research.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.018 | 0.006 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.005 |
| 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".