Place, Ethics, and Everyday Eating: A Tale of Two Neighbourhoods
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this article we investigate how ‘ethical eating’ varies across neighbourhoods and explore the classed nature of these patterns. While our focus is on ‘ethical eating’ (e.g. eating organics, local), we also discuss its relation to healthy eating. The analysis draws from interviews with families in two Toronto neighbourhoods – one upper and the other lower income. We argue that understandings and practices of ‘ethical eating’ are significantly shaped by social class as well as place-specific neighbourhood cultures which we conceptualize as part of a ‘prototypical’ neighbourhood eating style. People compare themselves to a neighbourhood prototype (positively and negatively), and this sets a standard for acceptable eating practices. This analysis helps shed light on how place is implicated in the maintenance and reproduction of class-stratified food practices.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 it