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 the health-risk society, food choice is framed through public health nutrition and dietary risks which are produced through nutritionism and econutrition. Dietary guidelines recommend the consumption of functional foods to target bodily health (Scrinis 2013; Mudry 2010), whereas ecological nutrition pushes sustainable diets for planetary health (Mason & Lang 2017; Friedberg, 2016). These healthy eating discourses construct dietary food risks and reorient ideas about what constitutes good food and eating right. This paper explores how food risk discourses extend the moralizing of healthism through emerging public health nutrition discourses and the ‘new public health.’ I suggest that in considering what constitutes eating right, dietary health risks extend individual responsibility for bodily health to increasing responsibility for the health of our environment or ecosystems, exercised as choice over the foods one chooses to eat. The feminine-citizen-subject is particularly targeted because as Moore (2010) contends, hegemonic femininity is constructed through beliefs about health and the healthy body. Thinking through feminist intersectionality (Crenshaw, 1991) however, I draw attention to the limits of choice and individualized approaches to managing food risk given the structural constraints of food and health.
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 | 0.003 |
| 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 | 0.001 |
| 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 it