Understanding Motivations for Volunteering in Food Insecurity and Food Upcycling Projects
Bibliographic record
Abstract
For non-profit organizations relying on volunteers to operate, investigations into the motivations of volunteerism are critical to attract new volunteers and to support the current ones. This study looked at volunteerism in the not-for-profit project The SEED in Ontario, Canada, which is looking to address food insecurity through a new social enterprise project that will create value-added “upcycled” products from second-grade produce while offering training opportunities for youth facing barriers to employment. The aims of this paper were to explore why volunteers chose to offer their time to this project and to gauge the current volunteers’ interest in volunteering with the organization’s new “Upcycle Kitchen”. Thirty-seven volunteers responded to a self-administered survey. They reported altruism, self-development, and social life improvement as their main motivations for volunteering. The volunteers expressed enthusiasm toward the Upcycle Kitchen initiative, which seems to be attributable to the multidimensional, creative, and educational aspects of the project. Tackling food insecurity and reducing the environmental impact of food waste are values which would most likely influence the respondents’ willingness to volunteer in food upcycling activities. We believe that this study is a good model to learn about the many facets of volunteerism for social enterprises developing upcycling-based food projects.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 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".