Bibliographic record
Abstract
This article explores whether the Supreme Court of Canada majority’s reasons in the Reference re Impact Assessment Act missed the forest for the trees. By applying a literal interpretation to the definition of “effects within federal jurisdiction” and what the Court called the “interprovincial effects clause” in the legislation, the majority departed from decades of flexible, purposive interpretation of environmental legislation. This article highlights three interrelated critiques of this aspect of the decision. First, it unpacks the way in which the majority’s reasons run contrary to the Supreme Court’s consistent approach to interpreting environmental legislation in previous decisions, inviting readers to reflect upon whether this shift in statutory interpretation undermines the validity of most environmental legislation which is drafted in a similarly broad way. Second, the article critically examines the majority’s conclusion that the “interprovincial effects” clause was ultra vires, inviting consideration of whether the decision creates a constitutional gap for evaluating the effects of transboundary air pollution in impact assessments. Third, the article responds to the majority’s admonition that the government had not attempted to apply the clarified national concern test from the GGPPA References to the interprovincial effects clause, analysing what this might have yielded. The decision has important implications for understanding the scope of jurisdiction over GHG emissions in our federation. Whereas the GGPPA References clarified that both orders of government have jurisdiction over different aspects of GHG emissions, the IAA Reference creates uncertainty about Parliament’s jurisdiction to consider transboundary air pollution — an aspect that must be federal — in assessments. The decision also reveals a striking shift in tone in the Supreme Court’s approach to interpreting environmental law, raising concerns about the future of environmental and climate federalism. The implications are significant given the increasingly urgent need for all governments to do their part in mitigating the climate emergency.
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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 | 0.016 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.058 |
| Scholarly communication | 0.013 | 0.020 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.011 | 0.017 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".