Student Participation in Community-Based Participatory Research To Improve Migrant and Seasonal Farmworker Environmental Health: Issues for Success
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Involving students in community-based participatory research is a useful mechanism for engaging the community and helping it build future capacity. This article describes student involvement in a series of community-based environmental health research projects with migrant and seasonal farmworkers in North Carolina. High school, undergraduate, graduate, and professional school students have participated in various aspects of these projects, including planning, data collection, analysis, and reporting results. Students were required to invest time in learning about the farmworker population, as well as in learning to conduct community-based environmental health research. Drawing on these experiences, we offer observations regarding successful student integration in this type of research. Community-based projects benefit from student participation while encouraging the development of future community-oriented environmental health researchers.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it