Federal electoral district inequality, the Saskatchewan Reference and Mixed Member Proportional representation (MMP)
Bibliographic record
Abstract
This paper criticizes the 1991 Supreme Court decision in Reference re Prov. Electoral Boundaries (Sask.), which held that the electoral map did not violate s. 3 of the Charter, despite government interference in the Boundaries Commission's mandate and significant disparities in district population. I argue that the Court's reasoning was flawed, and that it failed to protect disadvantaged minorities, evolve democracy or set appropriate standards to prevent gerrymandering. This becomes apparent when contrasting the Court's views of representation with a threefold theory of democratic elections (local representation, ideological expression and group decision-making). Discussing the role groups play in elections, this theory highlights the importance of 'one person-one vote', and how disparities between electoral districts lead to disparities in citizen voice and influence, damaging Canadian democracy. Adopting Mixed Member Proportional representation (MMP) would be a pragmatic solution to the Court's decision and the ongoing voter inequalities 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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".