Canada's regional innovation systems : the science-based industries
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
Regional innovation systems, Jorge Niosi shows, are evolutionary complex systems in which each group of agents reacts to the behaviour of others as well as to public policy incentives. Canada's Regional Innovation System finds that Canada's biotechnology capabilities are widely distributed but solidly planted in Toronto, Montreal, and Vancouver, with smaller centres in Calgary and Edmonton. However, the specific institutional structures (innovative firms, research universities, and public laboratories) of regional systems vary from one industry to another and evolve through time. While aerospace and aircraft form two poles in Montreal and Toronto, Ottawa is Canada's centre for semiconductor and telecommunication innovation. Niosi explores how these regional configurations are shaped by national and provincial public policy incentives. The study is based on patent and company information as well as aggregate figures from Statistics Canada and other sources.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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