Engaging youth in food preservation: Examining knowledge and practice on Canada’s West Coast
Bibliographic record
Abstract
Youth in remote communities of Canada, including those in the Clayoquot Sound UNESCO Biosphere Region (CSUBR), can benefit from building food preservation knowledge because of the additional challenges they experience accessing healthy food. Regrettably, youth in these areas are not adequately engaged in food practices within households that support knowledge building. Schools and community food programs that serve to fill such learning gaps lack food preservation content and are developed without input from youth. Consequently, youth in remote areas, including those in the CSUBR, lack food preservation learning opportunities. To address these gaps, we examine youth participation in food preservation in the CSUBR. We adopted a participatory approach to emphasize youth perspectives. This paper is based on interviews, food preservation workshops, and workshop evaluations with youth. The interviews provided multiple perspectives, including current youth engagement in food preservation activities and factors that hinder or motivate youth participation in food preservation. In addition, we organized food preservation workshops to support youth learning goals. These workshops were evaluated to highlight participants' experiences, including their efficacy in supporting food preservation knowledge building. Findings show that youth are not adequately participating in food preservation compared to other food provisioning activities. Factors such as the lack of teachers hinder youth from participating in food preservation. The workshops supported youth in building various food preservation techniques and learning about the cultural importance of food – important skills and knowledge to support youth food security and their community's food sovereignty.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.017 | 0.006 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".