What does it mean to ‘eat Jewishly?’: authorizing discourse in the Jewish food movement in Toronto, Canada
Bibliographic record
Abstract
This article examines the development of ‘eating Jewishly’ among participants at Shoresh Jewish Environmental Programs in Toronto, Canada. Participants at Shoresh construct and draw upon Jewish tradition in order to resolve gaps between the is and the ought of the conventional food system, and to a lesser extent, the narrower food system of kashrut. ‘Eating Jewishly’ re-positions religious orthodoxy as one in a set of authorizing discourses, subsuming all Jewish eating acts under one rubric. ‘Eating Jewishly’ thus departs from standard narratives of Jewish eating as either eating kosher, or eating traditional Jewish foods. I use a theory of authorizing discourse to show the conditions of possibility through which Shoresh develops their intervention as Jewish. I conclude that such authorization practices are a key form of productive constraint in the formation of Shoresh’s lived religion, and in the formation of religion as a framework for social good.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.047 | 0.032 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| 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".