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Record W4414736688 · doi:10.1111/capa.70032

Reshaping Public Perception: Indigenous Ways of Being in Governance Roles

2025· article· en· W4414736688 on OpenAlexafffund
Natasha Brooks

Bibliographic record

VenueCanadian Public Administration · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal and Cross-Cultural Management
Canadian institutionsRoyal Roads University
FundersRoyal Roads University
KeywordsIndigenousCorporate governanceRevenueCompensation (psychology)Per capitaSurvey data collection

Abstract

fetched live from OpenAlex

Abstract This quantitative study examines how Indigenous ways of being, particularly relational accountability, shape the governance responsibilities and compensation of First Nations chief and council members in British Columbia. Drawing on survey data from 55 participants and secondary data from 77 Nations, the study finds that elected leaders dedicate an average of 33.5 hours per week to their roles, with 38 percent of that time spent on community events and direct member engagement. This reflects the relational care and community presence embedded in Indigenous governance, contrasting with Western models that emphasize administrative efficiency. Contrary to public misconceptions of excessive compensation, the study reports average annual salaries of 88,345 dollars for chiefs and 46,013 dollars for councillors, often below provincial or federal counterparts. By introducing scalable frameworks based on per capita and revenue metrics, the research offers policy alternatives rooted in Indigenous values of service, reciprocity, and collective responsibility.

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)0.006
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.799
Threshold uncertainty score0.399

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0070.012
Scholarly communication0.0050.003
Open science0.0010.005
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.033
GPT teacher head0.289
Teacher spread0.257 · 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 designQualitative
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

Citations0
Published2025
Admission routes2
Has abstractyes

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