What's in the Blood? Temporalities at Play in Diet-Related Risk Management Testing Practices
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 this paper, I look at two different sets of practices that are part of the risk management apparatus in place in Québec & Canada to apprehend and control risks associated with food consumption. More specifically, I contrast diabetes and chemical contaminants risk management testing practices, so as to compare how both frame and approach risks, in a context where recent research in social sciences, epigenetics and environmental sciences increasingly points to “environmental” pathways of disease causation while many chronic conditions remain highly individualized in public and health discourses. The analysis pays close attention to the different temporalities discursively created, considered, and neglected in these practices in order to understand how risk is approached and worked on. This highlights the power relations that inform how we care (or not) for (certain) bodies, inflecting in particular ways their—uneven—becomings. I argue that the Canadian biotechnological apparatus of testing practices meant to apprehend and control diet-related risks contributes to foreclosing the temporalities of health and illness considered and acted upon. As such, the apparatus contributes to (re)producing inequalities, here mostly health related ones, as well as creating differentiated biological materialities.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.002 | 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