Decentering in Mindfulness and Cognitive Restructuring for Social Anxiety: An Experimental Study of a Potential Common Mechanism
Bibliographic record
Abstract
The present study examined whether cognitive restructuring (CR) or mindfulness led to increases in decentering and whether changes in decentering were related to changes in anxiety and willingness to approach anxiety-provoking situations. Forty-six individuals with social anxiety completed speaking tasks before and after receiving CR, mindfulness, or control instructions. Overall, anxiety decreased and willingness increased from the first to second speech, with no differences across conditions. Decentering (measured by the Toronto Mindfulness Scale [TMS]) increased, with those in the mindfulness condition reporting more decentering. There was a nonsignificant, medium-sized effect on decentering, as measured by the Experiences Questionnaire (EQ)-Decentering factor, with those in CR reporting more decentering. Increases in decentering were associated with changes in self-reported anxiety and willingness. Findings indicate that mindfulness and CR led to changes in decentering, and that changes in decentering were related to changes in some, but not all, measures of anxiety.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".