Devouring Relationalities: Reflections on Food, Intimacies, and Multispecies Ethnography
Bibliographic record
Abstract
Abstract Drawing on one year of fieldwork in Egypt, this research explores rooftop rearing practices among lower-middle class families in Egypt. Lacking access to trusted meat proteins, many families raise nonhuman animals, including chickens, goats, and sheep, for nutritional sustenance. Nurtured with love and nourished with household leftovers among other ingredients, rooftop animals are valued for their carefully controlled gastronomic histories. Drawing on zafara as a gastronomic sensibility to differentiate between rooftop-reared animals and store-bought ones, I argue that eating with nonhuman animals – through feeding rooftop animals household leftovers and foods that families eat everyday – provides a methodological opportunity to conduct nuanced participant observation and speak to some of the challenges in multispecies ethnography. Reflecting on fieldwork meals and scholarly discussions in multispecies ethnography, this is an invitation to take eating seriously, as one way through which the human-nonhuman boundary can be revisited and further complicated.
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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 | 0.014 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.026 | 0.062 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.003 | 0.017 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".