MétaCan
Menu
Back to cohort
Record W3042147494 · doi:10.24124/c677/20201748

Electoral Parity or Protecting Minorities? Path Dependency and Consociational Districting in Nova Scotia

2020· article· en· W3042147494 on OpenAlexaffvenueabout
Jim Bickerton, Glenn D. Graham

Bibliographic record

VenueCanadian Political Science Review · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsGerrymanderingRedistrictingNova scotiaPoliticsProportional representationPolitical scienceRedistribution (election)ApportionmentLegislaturePopulationLawSociologyDemocracyEthnologyDemography

Abstract

fetched live from OpenAlex

Abstract: This article contributes to the study of electoral districting and minority group representation in Canada, Nova Scotia politics, and path dependency theory, through an analysis of electoral boundary commissions in Nova Scotia and relevant electoral boundaries jurisprudence. The concept of ‘protected ridings’ for historical minorities in Nova Scotia – specifically, Acadians and African Canadians – was introduced by the first provincial Electoral Boundaries Commission in 1992. This approach, referred to here as ‘consociational districting’, ran counter to the trend in electoral redistribution and apportionment exercises toward reducing the extent of population variance between electoral districts. When the continued application of this approach was rejected in 2012, its legality and validity were restored following a successful court challenge by the province’s Acadian federation. An analysis of this case study informed by historical institutionalism explores how path dependency has been a significant factor in the de facto constitutionalization of consociational representation for two historical minorities in Nova Scotia. In effect, history and institutions matter in the politics of redistricting, especially insofar as it concerns minority representation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.880
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.064
GPT teacher head0.343
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2020
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Political Science ReviewSame topicPolitical Systems and GovernanceFrench-language works237,207