Attention Training in the Reduction and Reappraisal of Intrusive Thoughts
Bibliographic record
Abstract
Abstract Attention Training (ATT) is an auditory attention-focusing technique that attempts to reduce the perseverative self-focused processing characteristic of anxiety and mood disorders. The present study investigated the effects of one session of ATT in the reduction and reappraisal of intrusive thoughts in a university sample reporting high levels of obsessive-compulsive symptoms. One-hundred and eight participants identified their most distressing intrusive thought and spent 7 minutes monitoring their stream of consciousness while recording occurrences of the identified thought. They then rated the unpleasantness of the intrusive thought, their attempts to dismiss the thought from consciousness, and their perceived success in reducing the frequency of the thought. Participants were then randomly assigned to receive one session of ATT, thought replacement instructions (TR), distraction instructions (DI), or no intervention (CONT). Participants then repeated the thought monitoring interval and ratings. ATT was expected to be the most effective in decreasing the frequency and unpleasantness of intrusive thoughts. However, contrary to hypotheses, all groups reported similar decreases across intervals. Implications of these findings are discussed.
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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 | 0.002 |
| 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) | 0.002 | 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".