Contours of the Nation: Making Obesity and Imagining Canada, 1945–1970
Bibliographic record
Abstract
"The obesity epidemic that is said to plague nations around the world, including Canada, is not solely a medical condition to be managed. In Canada, the discourse on obesity emerged during a time of social upheaval in the postwar period. Contours of the Nation is the first book which historically explores obesity in Canada from a critical perspective. Deborah McPhail demonstrates how obesity as a problem was affixed to particular populations in order to separate true Canadians from others. She reveals how the articulation of obesity contributed to the Canadian colonial project in the North; where Indigenous peoples were viewed as modern Canadians due to their obesity, thereby negating any special claims to northern lands. Contours of the Nation successfully demonstrates how histories can trace the actual materialization of bodies through relations of power, particularly those pertaining to race, gender, and nation."...
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".