Examining the <scp>C</scp> anadian Government's Resistance to Including Socioeconomic Concerns in Genetically Modified Seeds Regulation: A Policy Transfer and Multilevel Approach
Bibliographic record
Abstract
Abstract In 2011, C anadian Members of Parliament refused to transfer a regulatory initiative taken from A rgentina that would have required an analysis of potential harm to export markets before authorizing the sale of any new genetically modified seed. This was the purpose of B ill C ‐474, which was defeated in the H ouse of C ommons. After exploring A rgentina's regulatory framework as a source of transfer, this paper combines a multilevel analysis with a typology of policy transfer mechanisms in order to address the complexities underlying this unsuccessful attempt. We explore how the mechanisms of competition and coercion might have impeded the transfer of such an initiative at the international and the macro‐state levels. Moreover, while a policy transfer network in support of the bill called on previous experiences with genetically modified seeds, their efforts appear to have been outweighed by another network using arguments based on the mechanisms of competition, coercion, and mimicry.
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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 | 0.017 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".