What to do with the “Tubby Hubby”?“Obesity,” the Crisis of Masculinity, and the Nuclear Family in Early Cold War Canada
Bibliographic record
Abstract
Abstract: Despite current insistence that obesity is a new problem, obesity and fat were discussed frequently in the medical and popular presses and by state officials during the early Cold War in Canada. Using Kristeva's (1982, Powers of Horror: An Essay on Abjection) concept of abjection, I argue that Cold War anxieties about fat, and specifically the obesity of white, middle‐class men, had less to do with the growing girth of bodies than it did with a post‐war crisis in masculinity related to the collapse of the public and private spheres. Through an analysis of fitness regimes and female‐administered diets for men, I argue that anti‐obesity rhetoric served to assuage dominant worries about degenerating masculinity by reasserting both the gendered division of labour and the white, middle‐class, nuclear family as Canadian norms.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.036 | 0.031 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".