Can national cultural policy approaches be used for sub‐national comparisons? An analysis of the Québec and Ontario experiences in Canada
Bibliographic record
Abstract
There has been relatively little comparative research undertaken on sub‐national cultural policy. This article aims to contribute to the development of sub‐national comparative studies by assessing the utility of national cultural policy approaches for comparative research at the sub‐national level in Canada. Drawing on studies of national cultural policy, the authors develop three main approaches to cultural policy and administration – the French, British and hybrid approaches – and explore their applicability to the origin and evolution of cultural policy and administration in the Canadian provinces of Québec and Ontario. This exploratory research suggests there is room for optimism in drawing on national‐level experiences to undertake sub‐national comparative cultural policy research, particularly for comparisons over broad time periods. The study also suggests that it will be important in subsequent research to further elaborate the models for present‐day comparative analysis and to refine and adapt them to reflect specificities at the provincial level of analysis.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.009 |
| Science and technology studies | 0.028 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".