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Record W3022874343 · doi:10.1111/cag.12618

Indigenous health organizations, Indigenous community resurgence, and the reclamation of place in urban areas

2020· article· en· W3022874343 on OpenAlexfundvenueaboutno aff
Sarah E. Nelson, Kathi Wilson

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaRoyal Canadian Geographical Society
KeywordsIndigenousFocus groupHealth careGeographyQualitative researchPolitical scienceEconomic growthSociologySocioeconomicsSocial scienceAnthropologyEcology

Abstract

fetched live from OpenAlex

Research around the world has been nearly unanimous about the positive impacts of Indigenous‐led health organizations on Indigenous peoples' qualitative experiences in health care, in the face of often negative experiences in non‐Indigenous‐led health care settings. Urban environments, including health care environments, are areas of increasing attention with regard to Indigenous peoples' health in Canada. In this study, which took place in the northern city of Prince George, British Columbia, 65 Indigenous community members and health services workers participated in interviews and focus groups, describing their experiences with urban Indigenous‐led health organizations—defined in this study as non‐governmental organizations that prioritize the values and practices of local Indigenous communities. Employing perspectives on place and relationships drawn from Indigenous critical theory and Indigenous community resurgence to analyze the findings of this qualitative study leads to a focus on how relationships impact and can even constitute places, enabling new understandings of the roles of Indigenous‐led health organizations in urban Indigenous community resurgence.

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)0.005
metaresearch head score (Gemma)0.005
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 score0.595
Threshold uncertainty score0.806

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0290.044
Scholarly communication0.0060.003
Open science0.0010.009
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.230
Teacher spread0.219 · 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

Citations5
Published2020
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Geographies / Géographies canadiennesSame topicIndigenous Health, Education, and RightsFrench-language works237,207