Quebec Hydroelectricity Export Restrictions: Compliance vis-à-vis Article XX GATT
Bibliographic record
Abstract
Quebec’s ambition is to become the “battery” of Northeast America, positioning itself as the leading supplier of clean energy through increased hydroelectricity exports. This ambition, however, is challenged on many fronts. Quebec’s ability to meet both domestic and export demand is empeded by competing federal objectives, such as extending Hydro-Quebec’s grid towards other domestic provinces, and concerns about water resource sufficiency. In this context, I examine in this thesis whether Canadian authorities can restrict hydroelectricity exports to prioritize domestic supply in accordance with international trade law, specifically under the General Agreement on Tariffs and Trade (GATT) 1994. By analyzing Article XI:1 of GATT, I argue that export restrictions would likely violate the prohibition on quantitative restrictions, and that tentative justifications to such restrictions based on Article XI:2(a) are unlikely to be successful, as the WTO may not recognize a critical shortage of hydroelectricity. Consequently, in the absence of a specific energy security exception, Canada must justify the GATT inconsistency of hydroelectricity export restrictions under one of the grounds of Article XX: the GATT’s environmental exception clause. Specifically, I argue that Canada could seek to justify the inconsistency under Article XX(g) and XX(j), though this is challenging because hydroelectricity does not easily fit within the exceptions. To have the best chance at successfully justifying restrictions under Article XX, I recommend that the Quebec government specifies the conditions under which it can ban exports of hydroelectricity, particularly by explicitly citing low water levels in its recently enacted Bill 69. Finally, given the difficulties associated with fitting hydroelectricity into Article XX exceptions, I advocate that Canada negotiates an explicit energy security exception at the international level, especially during CUSMA’s 2026 review
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".