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Record W2904509284 · doi:10.1111/gove.12374

Trust, institutions, and indigenous self‐governance: An exploratory study

2018· article· en· W2904509284 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGovernance · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Capital and Networks
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsIndigenousInstitutionMainstreamContext (archaeology)PoliticsCorporate governanceInterpersonal communicationSocial trustSociologyPublic relationsPolitical scienceExploratory researchWork (physics)Social scienceLawSocial capitalManagementGeographyEconomics

Abstract

fetched live from OpenAlex

Trust is important to the institutions that make societies successful. Globally, Indigenous peoples are actively building institutions for self‐governance, but there remains little empirical work on trust in this context. To address this gap, we use a mixed methods approach to explore three levels of trust among individual members from three related, but politically distinct First Nations (Indigenous peoples) in British Columbia, Canada. British Columbia offers a unique and dynamic context to explore trust and its relationship with the diverse institutional choices among First Nations. Survey results show that trust is low among respondents and individual variables predictive of trust in mainstream contexts, like education and employment, are not determinative. However, interpersonal trust and political trust were highest in the First Nation most active in institution building, and who linked this with a cultural revitalization narrative. Interviews suggested a bidirectional relationship between individual and collective drivers of trust in this context.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.710
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.030
GPT teacher head0.308
Teacher spread0.278 · 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