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Record W4377985909 · doi:10.1017/s0008423923000173

Indigenous Political Representation in Canada

2023· article· en· W4377985909 on OpenAlexaffabout
Réal Carrière, Royce Koop

Bibliographic record

VenueCanadian Journal of Political Science · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsIndigenousConceptualizationRepresentation (politics)PoliticsSovereigntyPolitical scienceState (computer science)Corporate governanceSociologyPublic administrationPolitical economyLawManagementEcology

Abstract

fetched live from OpenAlex

Abstract Despite long-standing academic interest in Indigenous peoples and the Canadian state, there has been little study of Indigenous elected officials as representational actors. We ask: What are the distinctively Indigenous forms of representation practised by Indigenous elected officials in Canada? And how does clarifying the role of Indigenous elected officials as representatives both contribute to and enhance our overall understanding of Indigenous politics, governance and sovereignty? We draw on the existing literatures on substantive representation as well as original interviews conducted with current and former Indigenous elected officials to develop an original conceptualization of Indigenous representation. These actors differ in their perceptions of themselves and their roles as representatives, the representational behaviours they engage in and the outcomes they seek. Our conceptualization of Indigenous representation engages with four themes: Indigenous perspective, Indigenous advocacy, balance with other imperatives including constituency representation and party discipline, and Indigenous nationhood.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.137
Threshold uncertainty score0.997

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0330.010
Scholarly communication0.0060.001
Open science0.0020.006
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0100.000

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 head0.026
GPT teacher head0.335
Teacher spread0.309 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations10
Published2023
Admission routes2
Has abstractyes

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Same venueCanadian Journal of Political ScienceSame topicIndigenous Health, Education, and RightsFrench-language works237,207