A Radical Right-Wing Failure in Canada: The People's Party in the 2019 Federal Election
Bibliographic record
Abstract
This thesis is an investigation into why Maxime Bernier’s People’s Party of Canada (PPC), a radical right-wing party (RRP), failed to succeed in the 2019 Canadian federal election. Canada has not witnessed the electoral breakthrough of such a party. I argue the failure of the PPC was the result of a mixture of supply- and demand-side variables including the electoral system, grand governing coalitions, national traditions, the stabilization of immigrant inflows, and the softening of anti-immigrant sentiment. Other, more favourable conditions for the PPC, including strong party organization and leadership, extensive media coverage, and increasing support for populist and moderate authoritarian sentiment, may have been necessary, but were not sufficient alone to allow for an RRP breakthrough. RRPs are unlikely to succeed in Canada as long as particular institutional constraints continue to exist, the immigration rate remains predictable, and Canadians continue to hold favourable views towards immigrants.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.017 | 0.004 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".