Clusters Old and New: The Transition to a Knowledge Economy in Canada's Regions
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
Contributors to the volume are members of the Innovation Systems Research Network (ISRN), a national research network funded by the Social Sciences and Humanities Research Council of Canada. They are Tyler Chamberlin (University of Ottawa), Philip Cooke (University of Wales), John de la Mothe (University of Ottawa), Meric S. Gertler (University of Toronto), Rod Haddow (St Francis Xavier University), Harvey Johnstone (University College of Cape Breton), Cooper H. Langford (University of Calgary), Celine Mulhern (University of Toronto), Camille D. Ryan (University of Saskatchewan), Peter W.B. Phillips (University of Saskatchewan), Terry Ross (University of Calgary), Norbert V. Schaefer (University of New Brunswick), Peter Warrian (University of Toronto), David A. Wolfe, and Jaime R. Wood (University of Calgary).
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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