Constitutionalism and the Genetic Non-Discrimination Act Reference
Bibliographic record
Abstract
In the July 10, 2020 decision in Reference re Genetic Non-DiscriminationAct (GNDA Reference),1 the Supreme Court of Canada arrived at a complex three-to-two-to-four outcome, with a slim five-justice majority in two separate judgments upholding challenged portions of the federal Genetic Non-Discrimination Act (GNDA)2 as a valid exercise of Parliament’s criminal law power. The legislation, which some thought fundamentally oriented to the goal of preventing genetic discrimination, seemed to have attractive policy objectives, though we will ultimately suggest that the form of the legislation was not entirely in keeping with these aims. While it may have appeared pragmatically attractive to uphold the legislation, we suggest that the majority’s decision to do so comes at great cost to basic federalism principles, to legal predictability, and to prospects for well-informed intergovernmental cooperation. We argue that the courts must properly confine the effects of the GNDA Reference in accordance with established principles on the treatment of fragmented judicial opinions. We also argue that the courts must take significant steps to ensure that federalism jurisprudence remains well-grounded in legal principle, without the actual or apparent influence of extra-legal policy considerations[...]
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How this classification was reachedexpand
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.024 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".