Bibliographic record
Abstract
Theoretically informed and empirically grounded, Rethinking Obesity invites readers to reconsider the medical and public health framing of population weight (gain) as a massive global problem, epidemic or crisis. Attentive to social values, scientific uncertainty and possible harms, the book furthers critique of the weight-centred health paradigm and world war on obesity. Building upon existing international literature from critical weight studies, fat studies and critical obesity research, the book advances scholarship with reference to body politics and health policy, epidemiology and obesity science, media reporting and weight-related stigma. The authors resist the common moralised narrative that ‘the overweight majority’ are lazy, gluttonous, and personally responsible for their actual or potential ills and the solution ultimately necessitates individual lifestyle change. Critique is also extended to seemingly compassionate public health interventions that putatively avoid victim-blaming through an appeal to ‘the obesogenic environment’, a consequence of modern living. Empirical case studies are grounded in women’s repeated and often frustrating experiences of dieting and schoolgirls’ encounters with fat pedagogy, which challenges dominant obesity discourse. Recognising that declared public health crises may become layered and cascade through society, this book also includes timely research on the COVID-19 pandemic response amidst concerns about lockdown weight-gain, heightened risk of infection and death among people deemed overweight and obese. Rethinking Obesity interrogates how social injustice is reproduced not only through cruelty but also through seemingly benevolent representations, pedagogies and policies. Alternative approaches and action, ranging from weight-inclusive health paradigms to broader social change, are also considered when seeking to foster collective hope in crisis times. This is valuable reading for students and researchers in medical sociology, social and population health sciences, physical education, critical weight and fat studies, and the social dimensions of the body.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.038 |
| Scholarly communication | 0.010 | 0.013 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".