Moving Subjects, Feeling Bodies: Emotion and the Materialization of Fat Feminine Subjectivities in<i>Village on a Diet</i>
Bibliographic record
Abstract
In this paper, we conduct a critical feminist-informed poststructural analysis of the Canadian Broadcasting Corporation's reality weight loss series, Village on a Diet (VOD). We argue that the “problem of obesity” is felt into reality through the cultural work of emotions as represented in VOD. We further situate VOD as one node in a more expansive, interwoven network of discourses, sites, and technologies. In so doing, we argue that the felt force of “obesity” discourse is magnified as it circulates relationally throughout this network, materializing the felt “truth” about fatness (e.g., that it is unhealthy) and fat subjects (e.g., that they are unhappy, unsexy, bad parents). In this way, VOD serves a (bio)pedagogical function as it instructs—indeed, necessitates—that villagers and viewing Canadians alike work on and transform their bodies into leaner, supposedly more healthy forms as a means of striving towards the promise of a better life.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.052 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| 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".