Balancing on the redline: a qualitative study of the experiences purchasing sugar-sweetened beverages among Indigenous adults in a Canadian urban neighbourhood
Bibliographic record
Abstract
OBJECTIVE: Growing evidence suggests that inner-city residents actively navigate their food landscape to meet a wide range of socio-economic needs. Given the increasing focus of health policies on sugar-sweetened beverages (SSB) through price-based strategies, it is critical to understand purchasing habits of populations with higher SSB intake. This study examined urban Indigenous adults' SSB shopping behaviour and experiences. METHODS: We conducted a community-based participatory research study using semi-structured interviews with a purposive sample of Indigenous adults (≥ 18 years old) from the North End neighbourhood of Winnipeg. Interviews were audio recorded, transcribed verbatim, and thematically analyzed. RESULTS: All 20 participants (women = 10; men = 8; two-spirit = 2) consumed SSB on a regular, daily basis either at the time of the interview or at a prior period in their lives. Themes defining residents' SSB shopping behaviour and experiences of shopping for SSB included balancing on the redline, specifically (1) balancing SSB purchasing constraints and facilitators with savvy shopping approaches and (2) balancing (stereo)typical reactions with resilient coping approaches. Residents procured SSB in various stores within and beyond the boundaries of the North End neighbourhood. SSB is a considerable, reoccurring expense, requiring savvy price-shopping strategies in order to access. Indigenous adults experience judgement and stereotyping when purchasing SSB, including intersecting racial, class, and weight stigma. CONCLUSION: Purchasing SSB is perceived as a source of judgement when outside of inner-city neighbourhoods. Policymakers should consider how policies directed at SSB, which are consumed by Indigenous and food-insecure populations in greater quantities, may magnify existing racial, class, and weight-based discrimination.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.019 | 0.009 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".