Inferential confusion, obsessive beliefs and obsessive–compulsive symptoms: a multidimensional investigation of cognitive domains
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
Generally, research into the relationship between cognitive domains and obsessive-compulsive symptoms involves the use of scales that are highly intercorrelated with each other. The current study investigates the relationship between cognitive constructs and obsessive-compulsive symptoms using the item set of the Obsessive Beliefs Questionnaire and the Inferential Confusion Questionnaire. In order to create constructs that would not be excessively correlated with each other, factor scores were used to investigate the relationship between cognitive domains and obsessive-compulsive symptoms. Factor analysis followed by oblique rotation resulted in four moderately correlated cognitive constructs (importance/control of thoughts, inferential confusion/threat estimation, perfectionism/certainty and responsibility for preventing harm). With the exception of responsibility for preventing harm, the cognitive constructs under investigation were quite strongly related to obsessive-compulsive symptoms. In particular, hierarchical regression revealed the construct inferential confusion/threat estimation to be a global and strong predictor of obsessive-compulsive symptoms, followed by the constructs of perfectionism/certainty and the construct importance/control. Responsibility for preventing harm acted to be a negative predictor of obsessive-compulsive symptoms. It is concluded that the construct of inferential confusion acts as a more powerful predictor of obsessive-compulsive symptoms than any specific obsessive belief
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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