A Photovoice Inquiry Into the Impacts of a Subsidized CSA Program on Participants’ Health
Bibliographic record
Abstract
Although consumption of fruits and vegetables is associated with reduced risk of disease, many Americans do not eat the recommended quantity or variety. This is especially true for low-income populations, who may face significant barriers to accessing fresh produce, including cost. Community-supported agriculture (CSA) Partnerships for Health is a subsidized community-supported agriculture program designed to reduce barriers to accessing fresh produce in a low-income population. This Photovoice study gave participants ( n = 28) an opportunity to take photos representing how the program affects their lives. The aim was to understand the program’s impact from the perspective of CSA members. Participants had 2 to 4 weeks to take photographs, and then selected a few to discuss during a subsequent focus group. Through this discussion, we learned that participants see the program as (a) supporting positive changes to their physical and social health and (b) facilitating learning about new foods, cooking, and agriculture. The study suggests that a reduced-cost CSA membership that incorporates cooking education supports participants’ ability to try new foods, build skills, and improve health outcomes.
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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 | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".