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Record W2967998638 · doi:10.33524/cjar.v15i3.155

DECOLONIZING HEALTH RESEARCH: COMMUNITY-BASED PARTICIPATORY RESEARCH AND POSTCOLONIAL FEMINIST THEORY

2015· article· en· W2967998638 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Canadian Journal of Action Research · 2015
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsParticipatory action researchCommunity-based participatory researchPanacea (medicine)SociologyHealth equityPower (physics)DecolonizationPolitical scienceMedicineHealth careAnthropologyPoliticsLawAlternative medicine

Abstract

fetched live from OpenAlex

Within Canada, community-based participatory research (CBPR) has become the dominant methodology for scholars who conduct health research with Aboriginal communities. While CBPR has become understood as a methodology that can lead to more equitable relations of power between Aboriginal community members and researchers, it is not a panacea. In this article, we examine CBPR’s decolonizing potential and challenges to meeting this potential. Specifically, we argue that those who use CBPR need to recognize and expose the ways in which power inequities are perpetrated if decolonization is to result from CBPR. Further, we argue that one of the ways to meet CBPR’s decolonizing potential is to utilize a postcolonial feminist approach.

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.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaScience and technology studies
Domain: not available · Genre: Empirical
About the Canadian research system: yes · About a Canadian topic: yes
Theoretical or conceptualhigh
gptMetaresearchScience and technology studies
Domain: Methods · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: yes
Theoretical or conceptualhigh
models splitAgreement compares identical category sets and study designs across arms.

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)0.357
metaresearch head score (Gemma)0.031
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.415
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.3570.031
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0200.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.010
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 head0.985
GPT teacher head0.793
Teacher spread0.191 · 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