Protected black and Acadian electoral districts in Nova Scotia: a case study in institutionalised surrogate representation
Bibliographic record
Abstract
From 1991 to 2011, the political representation of the Acadian and black populations of Nova Scotia was ensured via four ‘protected ridings’ – electoral districts with population sizes well below median size created for their significant minority presence, a unique initiative that remains little examined in the literature. Through the reports of the electoral boundaries commissions, I examine the models of representation implicit in this system and use them to further the definition of surrogate representation presented by Jane Mansbridge, finding that what emerged was a system of institutionalised surrogate representation, wherein Acadians and African Nova Scotians throughout the province were represented by the representatives of the protected ridings. Beyond providing an overview of the unique Nova Scotian case, this paper also furthers the literature on surrogate representation by demonstrating that surrogate representation can be subdivided into two forms, which I categorise as ‘promissory/anticipatory surrogate representation’ and ‘gyroscopic surrogate representation’.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".