Commissioned Ridings: Designing Canada's Electoral Districts. By John C. Courtney. Montreal: McGill-Queen's University Press, 2001. 337p. $75.00 cloth, $27.95 paper.
Bibliographic record
Abstract
The approach to the design and revision of electoral districts in Canada is quite different from that found in the United States, despite the two countries' sharing of the same basic first-past-the-post electoral system. As John Courtney notes in his careful study of the topic, in Canada the emphasis in defining electoral districts, or constituencies or ridings, has been underpinned by concepts such as “community of interest” and “effective representation,” which encompass a wide range of political and social considerations—many local in nature—and which permit substantial deviation from the principle of one person, one vote. At the federal level, the allowable deviation in the size of constituencies can be plus or minus 25% within any given province, with the possibility of even greater variances under special circumstances. At the level of provincial electoral systems, the variances can be even larger, in part due to the fact that in certain provinces the ratio of urban to rural seats is specified in law. At the same time, the actual process of designing and reconfiguring the boundaries of constituencies, in the hands of independent, arm's-length commissions for the past 40 years, has been remarkably free of direct partisan influence. In fact, given the rather tattered state of current Canadian parliamentary democracy, characterized by one-party dominance in the federal parliament and a precipitous decline in voter turnout over the past three elections, the institution of arms-length boundary commissions stands out as something that works well and enjoys broad respect.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.039 | 0.013 |
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".