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Record W3088401953 · doi:10.1177/1049732320960050

Grounded in Culture: Reflections on Sitting Outside the Circle in Community-Based Research With Indigenous Men

2020· article· en· W3088401953 on OpenAlexafffund
Candice Waddell-Henowitch, Rachel Herron, Jason Gobeil, Frank Tacan, Margaret De Jager, Jonathan A. Allan, Kerstin Roger

Bibliographic record

VenueQualitative Health Research · 2020
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsUniversity of ManitobaBrandon University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsParticipatory action researchIndigenousCommunity-based participatory researchSociologyReflexivityNegotiationQualitative researchPhotovoicePhoto elicitationGrounded theoryGender studiesPublic relationsSocial sciencePolitical scienceAnthropologyEconomic growth

Abstract

fetched live from OpenAlex

Research continues to be a dirty word for many Indigenous people. Community-based participatory research (CBPR) is a means to disrupt power dynamics by engaging community members within the research process. However, the majority of relationships between researcher and participants within CBPR are structured within Western research paradigms and they often reproduce imbalances of power. The purpose of this article is to reflect on the process of CBPR within a research project focused on Indigenous men's masculinity and mental health. In doing so, we aim to contribute to reflexive practice in CBPR and flatten research hierarchies to facilitate more equitable knowledge sharing. Our reflections highlight the importance of prioritizing healing, centering cultural protocols, negotiating language, and creating space for Indigenous research partners to lead. These critical lessons challenge Western researchers to ground their practices in Indigenous culture while they "sit outside the circle" to facilitate more equitable and engaged partnerships.

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)0.080
metaresearch head score (Gemma)0.081
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.923
Threshold uncertainty score0.424

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0800.081
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.002
Science and technology studies0.0770.115
Scholarly communication0.0240.022
Open science0.0090.035
Research integrity0.0140.032
Insufficient payload (model declined to judge)0.0030.001

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 head0.899
GPT teacher head0.726
Teacher spread0.173 · 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.

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

Citations12
Published2020
Admission routes2
Has abstractyes

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