Decolonising qualitative research to explore the experiences of Manitoba’s urban Indigenous population living with type 2 diabetes mellitus, obesity and bariatric surgery
Bibliographic record
Abstract
INTRODUCTION: Obesity and type 2 diabetes mellitus (T2DM) are growing global health concerns associated with significant morbidity, mortality and healthcare expenditures. Due to histories of colonisation and contemporary marginalisation, Canada's Indigenous populations are disproportionately burdened by obesity, T2DM and many other chronic illnesses. Culturally appropriate research on experiences and outcomes of Indigenous patients undergoing bariatric surgery in Canada is scarce. This qualitative study protocol will use a decolonising approach guided by an Indigenous Elder to explore the perspectives and experiences of urban Indigenous Manitobans with respect to T2DM, obesity and bariatric surgery. This knowledge will guide the development and implementation of culturally sensitive bariatric care. METHODS AND ANALYSIS: ), have T2DM and live in an urban centre will be recruited. Three groups will be investigated: (1) those who have had bariatric surgery; (2) those on the wait list for bariatric surgery and (3) those not associated with a bariatric surgery programme. Each group of 10-12 participants will be guided through a semistructured script led by an Indigenous Elder. Elder-facilitated conversational interviews will also be completed following the SSCs. All content will be audio recorded and transcribed. Thematic analysis will be used to identify emerging patterns using a constructive grounded theory approach. ETHICS AND DISSEMINATION: This study has received ethical approval from the University of Manitoba Health Research Ethics Board. Findings will inform the development and implementation of culturally sensitive programmes at Manitoba's Centre for Metabolic and Bariatric Surgery. Results will be disseminated in peer-reviewed scientific journals, at obesity and Indigenous health conferences, and knowledge sharing ceremonies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.020 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.018 | 0.014 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".