Professional Regulation and Change in Times of Crisis: Differing Opportunities Within and Across Ecologies
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
This paper analyses the impact of the COVID-19 pandemic crisis on professional regulatory change in two Canadian provinces, drawing on ecological theory. The dataset, constructed using web-scraping techniques, includes all laws and by-law modifications concerning regulated professions enacted during the first 18 months of the pandemic in Quebec and British Columbia. Data show that the crisis prompted regulatory changes but that the impact and nature of these changes varied depending on the structure of the ecology of professional regulation in each province. Furthermore, crisis-related concerns were more likely to induce or accelerate durable changes if they intersected with pre-existing, ongoing professional projects. Our findings have implications for theorizing crisis-related regulatory change and demonstrate the value of a comparative approach to studying professional ecologies and state-profession interfaces.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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