CATASTROPHIZING ASSESSMENT OF WORRY AND THREAT SCHEMATA AMONG WORRIERS
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Several authors have suggested that threat schemata of high worriers may differ from those of less worried individuals with regards to the manner with which information is structured in the Long Term Memory (LTM) or the content of the information stored in the LTM. The present study tested this hypothesis using the catastrophizing interview technique (c.f., Vasey & Borkovec, 1992). Results revealed that high worriers evaluated the likelihood of the occurrence of feared consequences generated for each worry as more likely to actually happen than low worriers did. Second, the ultimate outcome generated in the catastrophizing sequence for a given worry was more severe for high worriers. Finally, high worriers generated ultimate outcomes that were more similar in content, presumably reflecting tightly organized threat schemata. It is argued that activation of these threat schemata in the LTM contributes to the maintenance of worry and anxiety in anxious individuals.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it