The Dimensions of Ruminative Thinking: One for All or All for One
Bibliographic record
Abstract
The Ruminative Thought Scale (RTS) was developed to measure the ruminative thinking style, presumably common to various psychopathological disorders. However, prior factor-analytic research was inconclusive regarding unidimensionality versus multidimensionality of the RTS. The present study was conducted on a large, heterogeneous Serbian sample ( N = 838). A subsample was retested 6 months later providing information about symptoms of depression and various anxiety symptoms. Results showed that a bifactor model of the RTS (representing one general and four group factors) had a better fit than the second-order and one-factor models. The subscale scores were not prospective predictors of symptoms of depression and anxiety, over and above the contribution of the total score. The RTS is a reliable transdiagnostic measure of repetitive thinking. Although there is some clustering of more homogeneous items, there is not enough evidence to support interpretation of the subscales.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| 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".