Lived Food and Judgments of Taste at A Time of Disease
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
Medical nutritional therapy (MNT) is a key feature of treatment for and management of type 2 diabetes. There are two elements to this therapeutic approach: collecting a diet history and prescribing therapeutic diets. For the clinical encounters observed in this paper, MNT often became a source of conflict between practitioners and patients. As clinicians endeavor to collect accurate information regarding food choices and eating so as to offer appropriate medical advice, and patients struggle to come to terms with a sickness in which food and eating have become toxic and risky, "judgments of taste" regarding food and patterns of eating become especially profound for both practitioners and those who seek treatment. Bourdieu's (1984) insights into the social situatedness of "taste" provides a useful framework for examining clinical practice and individual foodways. MNT is based upon and promotes a "taste for necessity," - "a form of adaptation to and consequently acceptance of the necessary" (ibid. 372), which judges food choices and eating patterns in terms of the bio-function of food and eating. In addition to this particular judgment of taste, study participants managing type 2 diabetes rely on other "judgments" that have been cultivated over the course of their own socially situated lives. At a time of disease these judgments of taste are conjoined as ongoing, multiply inflected lived histories of food and eating. Collecting life histories of food is one useful method for researching these patterned and idiosyncratic food and eating experiences.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it