Ana and the Internet: A review of pro‐anorexia websites
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: The purpose of this article is to describe the content of pro-anorexia websites, both qualitatively and quantitatively. METHOD: An Internet search protocol was developed to identify pro-anorexia websites. A grounded theory approach was used to generate themes from Internet-based information. Basic descriptive analysis was employed to report on key website characteristics. RESULTS: Twenty pro-anorexia websites met inclusion criteria. Saturation of themes was achieved after review of 12 websites. Key website characteristics included purpose of website (75%), information about webmaster (67%), website disclaimers (58%), and information on "tips and tricks" (67%). Religious metaphors, lifestyle descriptions, and "thinspiration" (inspirational photo galleries and quotes that aim to serve as motivators for weight loss) were frequently present. A total of 10 themes were generated. The most prevalent themes included control, success, and perfection. CONCLUSION: Health-care providers and caregivers should be aware of pro-anorexia websites and their content, as these websites contain information that promote and support anorexia nervosa.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it