Cognitive-Behavioral Treatment of Trichotillomania, Targeting Perfectionism
Bibliographic record
Abstract
Trichotillomania or hair pulling has been considered mainly as a tensionreducing habit. However, other cognitive, emotional, and situational factors have been identified as important in the development andmaintenance of this disorder. The present case study applied habit reversal techniques, with the addition of a cognitive modification of perfectionist beliefs and style of action, in the treatment of a 23-year-old woman. During an 18-week period, her hair-pulling behavior decreased from a mean of 24 hairs pulled each day to 1 hair pulled overall in a week. A 1.5-year follow-up showed that the client suffered a small relapse during a period of 2 weeks. A self-imposed return to cognitive and behavioral techniques eliminated further pulling. This single case report raises the possibility that perfectionismmay be an important target for cognitive-behavioral treatment intervention in habit disorders such as trichotillomania.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".