Canada election result prompts internal party reviews
Bibliographic record
Abstract
Significance The governing Liberal Party presented the election as the most important in decades as it sought a mandate to lead the country’s emergence from the pandemic. Instead, the election delivered little change, leaving Prime Minister Justin Trudeau heading a minority government, most likely with support from the left-leaning New Democratic Party (NDP) as before. Impacts An expected cabinet shuffle will see new ministers at key departments including Justice and Foreign Affairs. Provinces will drop their resistance to the proposed childcare programme, which will be in effect before the end of 2022. No new pipelines will be proposed or built while Trudeau remains in office, given perceived government hostility to fossil fuels. The transfer to the provinces of significant responsibility for healthcare will go ahead as decentralisation accelerates.
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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 | 0.014 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.017 | 0.005 |
| Scholarly communication | 0.015 | 0.003 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.016 | 0.013 |
| Insufficient payload (model declined to judge) | 0.073 | 0.017 |
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".