A Policy Network Explanation of Biotechnology Policy Differences between the United States and Canada
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
Canada has a more restrictive biotechnology policy than the United States. Adopting a similar-cases-research-design, this article shows that policy networks explain this difference. The overlapping nature and the boundary between the multiple networks relevant to biotechnology in each country are distinct. In the United States, two policy networks deal with biotechnology. One primarily handles agricultural plants, while the other deals with food; key state actors overlap. In contrast, networks in Canada are separated between those dealing with regulation with two overlapping networks assessing environmental and health risks, and a network to manage biotechnology promotion. Promotion and regulation thus constitute a network boundary in Canada, but not in the United States, where networks deal with these two issues simultaneously. American networks have promoted beliefs favourable to more permissive regulatory preferences than the Canadian environmental and health risk assessment networks and American biotechnology policies are therefore even more permissive than those of Canada.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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