Good food, good people: Understanding the cultural repertoire of ethical eating
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
Ethical consumption is understood by scholars as a key way that individuals can address social and ecological problems. While a hopeful trend, it raises the question of whether ethical consumption is primarily an elite social practice, especially since niche markets for ethical food products (for example, organics, fair trade) are thought to attract wealthy, educated consumers. Scholars do not fully understand the extent to which privileged populations think about food ethics in everyday shopping, or how groups with limited resources conceptualize ethical consumption. To address these knowledge gaps, the first goal of this paper is to better understand how consumers from different class backgrounds understand ethical eating and work these ideas into everyday food practices. We draw from 40 in-depth interviews with 20 families in two Toronto neighborhoods. Our second goal is to investigate which participants have privileged access to ethical eating, and which participants appear relatively marginalized. Drawing conceptually from cultural sociology, we explore how ethical eating constitutes a cultural repertoire shaped by factors such as class and ethno-cultural background, and how symbolic boundaries are drawn through eating practices. We find that privilege does appear to facilitate access to dominant ethical eating repertoires, and that environmental considerations figure strongly in these repertoires. While low income and racialized communities draw less on dominant ethical eating repertoires, their eating practices are by no means amoral; we document creative adaptations of dominant ethical eating repertoires to fit low income circumstances, as well as the use of different cultural frameworks to address moral issues around eating.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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