Bibliographic record
Abstract
Recently, ‘obesity epidemic’ discourses have begun to focus on the ‘problem’ of ‘childhood obesity.’ Notwithstanding the fact that it is not clear that childhood obesity is a serious health problem, individual fat children are increasingly being targeted by anti-obesity interventions, despite the significant emotional and physical risks inherent in such measures. In order to understand why this is occurring, I operationalise Dorothy E Smith’s (1999) theory of ruling relations in order to draw out the ideological basis and implications of mediated textual representations. Drawing from Law and Mol’s (2002) work on case study methodologies and Titchkosky’s (2007 : 23) assertion that the texts we encounter in everyday life ‘are our world,’ I analyse three appearances of the ‘childhood obesity epidemic’ discourse within articles from online news sources. I find that the world constructed within these articles is one in which fat children’s bodies are understood as economic problems, and the children themselves are regarded as individual failed subjects within the currently dominant ideology of neoliberal capitalism.
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.
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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.021 | 0.063 |
| Scholarly communication | 0.015 | 0.011 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".