Seed Swaps and Sunday Sauce: Lessons About Sharing Food in Hard Times: pp. 43-65
Bibliographic record
Abstract
In times of crisis, which may include perennial poverty and environmental hurdles, unattainable myths and racial stigmatization, or climate change and postmodern anxieties, food sharing stands out as an important source of community resilience. In this article, I argue that by reframing the capitalocentric narrative, one perceives a world of food sharing economies essential for resisting those myriad and often supralocal forces that threaten livelihoods. Personal experience narratives of rural peasants in Gujarat, India and Italian immigrants in Brooklyn, New York from the 1940s through the 1960s exemplify how informal food economies operate in hard times. Anecdotes about culinary resourcefulness, mutual aid networks, and food-centred festivities illustrate the significance of economic practices unacknowledged or undervalued in capitalocentric discourse but central to the fostering of community and sustainability, then and now. Furthermore, following the diverse economies framework and weak theory, the academic subject is implicated in a politics of prefiguration.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.013 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".