Bibliographic record
Abstract
BACKGROUND: Intrusive imagery is experienced in a number of anxiety disorders, including Obsessive Compulsive Disorder (OCD). Imagery is particularly relevant to mental contamination, where unwanted intrusive images are hypothesized to evoke feelings of dirtiness and urges to wash (Rachman, 2006). AIMS: The aim of this study was to examine the nature of imagery associated with mental contamination. METHOD: Fifteen people with contaminated-based OCD completed a semi-structured imagery interview designed specifically for this study. RESULTS: Ten participants reported images associated with contamination. These images were vivid and distressing and evoked feelings of dirtiness. Participants engaged in a number of behaviours to neutralize their images, including compulsive washing. A small number of participants also reported images that protected them from contamination. CONCLUSIONS: In support of the theory of mental contamination (Rachman, 2006), images can lead to feelings of pollution and compulsive washing. Further research is needed to explore the role of imagery in maintaining contamination fears.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 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".