"Regulating Impartiality: Electoral Boundary Politics in the Administrative Arena"
Bibliographic record
Abstract
The author examines impartiality in cases of politically contentious decision making. Many jurisdictions delegate decisions over matters such as the establishment of fair election ground rules to independent bodies. Some of these bodies, including Canada's Federal Electoral Boundaries Commissions (FEBCs), attract widespread trust and are by most accounts substantially impartial. In contrast, commissions empanelled to draw electoral boundaries in the United States, and to a lesser extent in certain Canadian provinces, are often plagued by partisanship. The author canvasses approaches to controlling partisanship, relying on a series of interviews conducted with boundaries commissioners and on interdisciplinary literature on trust and trustworthiness in governance. Commentators often favour bolstering formal constraints on FEBC discretion. However, the author concludes that traditional administrativelaw models favouring such constraints are often inadequate. In politically sensitive cases these methods frequently catalyze partisanship. Proposals for more nuanced design-design sensitive to the complex interactions between law and administrative culture in cases where the potential for partisanship is high-are better but rarer. The author focuses in particular on the use of ambiguity in legal and institutional design. Although this approach is counterintuitive in light of rule-of-law assumptions favouring clarity, it has nevertheless gained traction in commentary and has long been at work in practice. The author argues that extensively ambiguous design, as displayed by the complex federal readjustment processes in Canada, has helped to develop the widely admired impartial decision-making cultures of the FEBCs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".