The contributions of community seed saving to health and wellbeing: A qualitative study in Thunder Bay, Canada
Bibliographic record
Abstract
• Community seed saving positively contributes to health and wellbeing • Community seed saving expanded health benefits beyond those in community gardening • Benefits included more physical movement and myriad positive emotions • Benefits included improved engagement with ecosystems, communities, and individuals • Community seed saving should be considered as a health promotion intervention This paper positions community seed saving (CSS) as collective knowledge and practices used to cultivate, collect, conserve, exchange, and advocate for regionally adapted seeds as a foundation of healthy and sustainable food systems. Qualitative research involved twelve interviews with community seed savers in Thunder Bay, Canada. We explored the relationships to participants’ health and wellbeing through themes of physical health, mental, emotional, and spiritual health, and relationships and reciprocity. The findings illustrate that CSS can directly benefit individuals and influence social and ecological determinants of health. We argue that public health should consider CSS a health promotion intervention and an important future direction for research.
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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 | 0.002 | 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 | 0.000 |
| 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".