Bibliographic record
Abstract
Canada's thirteen provinces and territories are significant actors in Canadian society, directly shaping cultural, political, and economic domains.Regions also play a key role in creating diversity within innovative activity.The role of provinces and territories in setting science, technology, and innovation policy is, however, notably underexplored.Ideas, Institutions, and Interests examines each province and territory to offer real-world insights into the complexity and opportunities of regionally differentiated innovation policy in a pan-continental system.Contributing scholars detail the distinctive ways in which provinces and territories articulate ideas and interests through their institutions, programs, and policies.Many of the contributing authors have engaged first-hand with either micro-or macro-level policy innovation and are innovation leaders in their own right, providing invaluable perspectives on the topic.Exploring the vital role of provinces in the last thirty years of science, technology, and innovation policy development and implementation, Ideas, Institutions, and Interests is an insightful book that places innovation policy in the context of multilevel governance.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.859 | 0.715 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".