Pro-anorexia/bulimia censorship and public service announcements: the price of controlling women
Bibliographic record
Abstract
Individuals, particularly women, are fixated on weight loss, driven by the goal of achieving a ‘skinny’ female physique that is desirable in western/ized cultures. There are online forums where individuals refer to themselves or their eating disorders as ‘pro-ana’ and ‘pro-mia’; their posts on these sites both align with, and challenge, what medical and mental health professionals define as serious mental health problems. In February 2012, the social media website Tumblr announced a policy to censor these online communities and use public service announcements (PSAs) to address ‘the problem’. Embracing contemporary ethnographic sensibilities, we present analyses that are attentive to nuanced meanings, and provide a critical feminist, sociological analysis of online comments from those who responded to the censorship and PSA policy. We argue that censorship extends the patriarchal control of women and that PSAs further the vested interests of corporate entities who profit from the marketing of services.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.014 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".