Hunger Hurts but Starving Works: A case study of gendered practices in the online pro-eating-disorder community
Bibliographic record
Abstract
This paper investigates collective identity-work of Pro-eating disorder (Pro-ED) groups on the Internet. Using an adaptation of face-to-face ethnographic methods to investigate online communication (Mann and Stewart 2000), the author analyzes five collective organizing practices in Pro-ED groups that reveal a highly gendered character: 1) promoting surreptitiousness, 2) organizing in and around the realm of domesticity, 3) equating beauty with self-worth, 4) relying on friendship as a chief organizing principle, and 5) using fandom as a method of attracting and maintaining members. In spite of exceptional resistance to their activities, women in the Pro-ED community are able to achieve a collective Pro-ED identity wherein they maintain eating-disordered lifestyles. The case study presented here interrupts popular sociological understandings of collective identity mobilization as having categorically positive consequences for its members.
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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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".