Bibliographic record
Abstract
PURPOSE: To examine the relationship between violence and the development of trichotillomania (TTM) in women. DESIGN AND METHODS: Semistructured interviews were conducted with a convenience sample of 44 women with trichotillomania from 21 American states and Canada. The participants were asked to describe how they live and cope with TTM. The data were subjected to content analysis and were quantified for presentation. Checks were instituted to establish reliability of the content analysis using the criteria of reproducibility and stability. FINDINGS: Forty of the 44 women (91%) reported some form of trauma or violence occurring during their lives and 38 (86%) reported a history of violence concurrent with the onset of TTM. Events ranged from repetitive and moderate to severe abuse (including sexual assault, rape, and gang rape) by family members, acquaintances, and strangers. CONCLUSIONS: These women with trichotillomania experienced a disproportionate number of traumatic or violent episodes in childhood. In most cases, the onset of TTM was correlated with specific episodes of violence. Of special interest is the possible relationship between family chaos experienced during childhood and the onset of TTM.
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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 | 0.000 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".