Gooey stuff, intra-activity, and differential obesities: Foregrounding agential adiposity within childhood obesity stories
Bibliographic record
Abstract
In Canada, forces such as the media, medical discourse, and public policy work to position childhood obesity as increased body fat content or excess adiposity due to various personal, social, and economic factors. Drawing on Barad’s ‘agential realist ontology’, this article aims to inhabit-with obesity in an effort to disrupt dominant understandings of childhood obesity, as illustrated in images from three children’s picture books. By troubling the positivity inherent in dominant understandings of obesity, in which obesity is a knowable entity that refers to an anatomical body with excess adiposity, we might instead foreground the matterings of the human body at play amid the dynamic intra-actions of agential matter. This article will imagine how novel orientations toward childhood obesity might be made possible if we populate the adiposity of obese bodies such that we might engage with the intra-activity of agential adiposity.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.015 | 0.059 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 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".