Canada's Conservatives look set to move to the right
Bibliographic record
Abstract
Significance With voting now over, the winner is expected to be Pierre Poilievre, who has built a base on the right of the party. A victory that comes with a decisive margin over centrist Jean Charest would give Poilievre a clear mandate to move the party further to the right before the next election. Impacts While Poilievre will move his party to the right, he will avoid comparisons with Trump Republicans in the United States. The natural resources sector will back Poilievre on the assumption that he will have a different approach to environmental issues. Canada would renew its efforts to build pipelines to the coasts under a Conservative government as it looks to sell gas to Europe. A Poilievre government would work well with the current provincial governments in Ontario and Quebec, particularly on healthcare.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.029 | 0.007 |
| Scholarly communication | 0.013 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.009 | 0.008 |
| Insufficient payload (model declined to judge) | 0.062 | 0.009 |
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".