A "Feast of Fools": Food Security and the Carnivalesque in Peterborough, Ontario's Food Not Bombs
Bibliographic record
Abstract
Counterculture movements in the 1960s and 70s dramatically reorganized the role of bodies within social frameworks and saw the internalization of political issues, both figuratively and literally. The political became the personal and quotidian moments of consumption became sites of resistance. As Warren Belasco suggests, in reference to the radical food movements that saw the expulsion of "Wonderbread" and the resurgence of home-cooked holistic foods, "[d]ietary radicalism could be lived 365 days a year, three times a day. If, as Leftists knew, the personal was political, what could be more personal than eating? And what could be more political than challenging America's largest industry, the food business?" (227). Food provides a dynamic vessel for engaging with politics and capital at both the gastronomical level (what we choose to put into our bodies) and the social level (how we arrange our bodies collectively and individually). The kneading, baking, and consumption of bread, for example, provide precious, intimate moments for expressing agency and resistance to systems of power. Belasco saw this...Find full text in .pdf below.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.045 | 0.013 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".