Modification of Interpretive Bias: Impact on Anxiety Sensitivity, Information Processing and Response to Induced Bodily Sensations
Bibliographic record
Abstract
Anxiety Sensitivity (AS) is the fear of normal, arousal-related bodily sensations due to the belief that they have negative consequences. High AS is associated with interpretive biases whereby normal bodily sensations are perceived as threatening. Research shows that interpretive biases can be modified through cognitive training. In the present study, the impact of interpretation training on cognitive processes and behaviour was examined in people with high AS. Thirty-four participants were assigned to either a training condition designed to induce a benign interpretive bias, or a “sham” condition designed to have no effect on existing biases. Participants in the training condition reported significant decreases in overall AS and fear of the physical consequences of anxiety. Interpretive bias measures yielded mixed findings. Both conditions displayed decreased negative interpretations of explanations of physical sensations, but only the training condition displayed decreased interpretations of specific, negative explanations of physical sensations. Theoretical implications 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 | 0.001 | 0.004 |
| 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".