Bibliographic record
Abstract
Canada?s plurality electoral system often allows parties earning less than half of the popular vote to receive a majority of Parliamentary seats. Several analysts have suggested that this problem should be corrected by changing the electoral system to increase the proportionality between a party?s share of the vote and its share of legislative seats. However, while this type of reform would increase proportionality, it would also greatly increase the frequency of minority governments. This paper uses the minority government that took place in the 38th Parliament as a test case to see how Canada?s political system might be affected if the country adopts a new electoral system that produces minority governments more frequently. The paper sets out the procedural context of the 38th Parliament and develops six criteria for evaluating its behaviour. It then explores each criteria using a qualitative and quantitative comparison of the actions of the 36th, 37th, and 38th Parliaments. This evaluation shows that the 38th Parliament was no less efficient than its predecessors, featured greater legislative deliberation, and was better able to hold the executive accountable for its actions. As a result the paper concludes that while minority governments are by no means perfect, the example of 38th Parliament suggests that an electoral system which produced more minority governments could increase the quality of democracy in Canada.
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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 | 0.013 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".