Barriers to sustaining customer participation in hospital-based farmers’ markets: insights from employees
Bibliographic record
Abstract
92 farmers’ markets are located on hospital campuses in the United States but no known studies have evaluated factors influencing employee use of on-site markets. We examine modifiable barriers that reduced employee participation in a hospital-based market at Pennsylvania State Hershey Medical Center. 360 employees of Pennsylvania State Hershey Medical Center who used a weekly on-site seasonal market less than twice annually were sent an online survey, and frequency of response data were analyzed. Most frequently referenced barriers to participation were: location/access to the market, personal work schedules, cost of market products, and hours of operation, while top perceived benefits were support of local agriculture, health benefits, atmosphere/environment, and affordability. Hospital markets using value-based marketing campaigns to promote local economic and individual health benefits of participation, maximize convenience and access, and incentivize attendance are likely to sustain employee participation. These modifiable features may be relevant to worksite markets in diverse regions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".