Means of Influence, the Joint-Decision Trap and Multilevel Trade Negotiations: Ontario and Québec and the Renegotiation of NAFTA Compared
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
Trade negotiations address issues that are increasingly pertinent to substate governments, leading many to insist on being included in trade negotiations. The increasingly multilevel nature of trade negotiations and the influence of substate governments in the negotiation process is beginning to attract theoretical attention. The Canadian case is interesting here as it allows us to test two recent theories about the role of substate governments in trade negotiations. Canadian provinces are increasingly included in trade negotiations despite the fact that they do not have veto power and the Senate of Canada does not represent their interests. The Canadian case demonstrates that, contrary to the means-of-influence theory, inclusion in the negotiation process is more important than formal constitutional powers. Moreover, contrary to a recent theory that questions the joint-decision trap perspective, in the case of the NAFTA renegotiation, granting veto power to the provinces would likely have been a major problem for Canadian negotiators. This article compares the role Ontario and Québec played in the NAFTA renegotiations with their role in CETA and Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP) negotiations. Trade negotiation, federalism, means of influence, joint-decision trap, Canadian provinces, Ontario, Québec, NAFTA renegotiations, CETA, CPTPP
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it