To fight for collective food security and social dignity
Bibliographic record
Abstract
The numerous downsides of the global food system lead alternative food systems to try to find other ways to produce and distribute food in rural and urban settings worldwide. Many of these alternatives have been criticized for not considering food injustices which are commonly based on systemic social injustice. Placed alongside food justice and food sovereignty, community food security is a movement characterized by a focus on the community to improve the production of, and the access to fresh foods in a way that is inclusive and long-sighted. This thesis poses the questions of why people participate in community-based organizations (CBO) and how this participation allows the community to gain control over their food. The study wants to elucidate the role of the community in community food security and the ways in which CBOs can help resolving growing food insecurity. The qualitative methods focused on a case study and produced empirical material with semi-structured interviews (8) with active members and employees of a CBO in Montreal, Canada, and observations in the CBO. This study finds that participation in the CBO is fostered by different reasons encompassing the wish to socialize, to garden or to cook, to gain skills, to be part of a community, and to act for ideological and political purposes. By participating in the CBO’s activities, the community gains more control over their food because (1) people get access to fresh foods, skills, and political awareness, and (2) the CBO provides a space where values like respect and dignity are favored, and where people can socialize, leading to more engagement, diversity, and solidarity. Community is perceived and created in different ways as well, as it can embody values for some, be a tool for gathering for others, or represent a goal. The results advance that the diversity of understandings does not alter the function of CBOs and that food is a reason for creating community, equally as community is a reason to enhance food security. The study participates in the understanding of the influence different factors have on community food security, and on the connections between community and food. It brings knowledge from urban settings to the field of rural development and alternative food systems, with the state of mind that, considering the world’s current food crisis, rurality must be brought within the city.
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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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.051 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.002 | 0.020 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".