Questioning Customs and Traditions in Culinary Ethics: the Case of Cruel and Environmentally Damaging Food Practices
Bibliographic record
Abstract
Abstract Culinary traditions and food practices are at the center of our daily lives and therefore constitute an important part of culture. Whether they are part of significant rituals or simply routinely enacted, they tell us something about the way we relate to each other and to the non-human world. In other words, food practices have an ethical dimension. Our paper focuses on the possibility to make objective ethical assessments of problematic cultural practices rooted in culinary traditions as a reply to arguments associated with an ethical relativism according to which cultures produce ethical systems that are self-validating and therefore that cannot be criticized objectively. Drawing from examples involving animal cruelty and production methods harmful to the environment, we argue that it is possible to judge ethically questionable food practices from an objectivist standpoint inspired by moral progress, in contrario to a relativist point of view. Following a short discussion of ethical relativism, we present the outline of an acceptability test for questionable food practices and use it to analyse the case of the dog meat industry in South Korea.
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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 | 0.015 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.091 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.001 | 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".