Low-income adults’ perceptions of farmers’ markets and community-supported agriculture programmes
Bibliographic record
Abstract
OBJECTIVE: To better understand low-income adults' attitudes towards participating in farmers' markets, community-supported agriculture (CSA) and nutrition education programming. DESIGN: Focus groups were held with a diverse sample of adults. Interviews were transcribed verbatim and analysed using thematic analysis. SETTING: Three affordable housing communities in Washington, DC, USA. SUBJECTS: Participants included twenty-eight residents of the three affordable housing communities. RESULTS: Four major themes emerged across groups, along with several sub-themes within each theme. These included: (i) perceptions of farmers' markets (benefits, barriers, current participation and knowledge); (ii) perceptions of CSA (benefits, barriers and questions/concerns); (iii) need/interest in additional programming (nutrition education, non-nutrition education, qualities of programming and perceived barriers); and (iv) current health knowledge and behaviours (dietary behaviours, health recommendations and health concerns). CONCLUSION: Adults living in urban, affordable housing communities desire access to healthy foods, but are limited by cost. Programmes could have a higher likelihood of success if they accept benefits like SNAP (the Supplemental Nutrition Assistance Program), are heavily marketed and incorporate culturally relevant nutrition education components.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.011 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".