Canada faces federal-provincial gridlock on policy
Bibliographic record
Abstract
Subject Canadian provincial and federal politicial dynamics. Significance As Ontario Premier Doug Ford’s term gets underway, Quebec is beginning its election campaign, running to October 1; the centre-right Coalition Avenir Quebec (CAQ) will likely perform well. Prime Minister Justin Trudeau faces a fractious final year, as relations worsen between the Liberal federal government and various new right-wing provincial governments. Leading issues are migration, carbon taxes, cross-border trade and right-wing provincial governments’ socially conservative and fiscally austere agendas. Impacts Failed NAFTA renegotiations would hurt Trudeau’s administration before 2019 and necessitate further post-2019 negotiations. Right-wing provincial premiers will still cooperate with Trudeau to mitigate the effect of US trade tariffs on Canada. Currently, Trudeau and the Liberals are likely to win in 2019, but opposition parties will gain votes.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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 teacher head, 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".