Personality Vulnerabilities to Psychopathology: Relations Between Trait Structure and Affective-Cognitive Processes
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
The present research examined (a) the relations among various affective-cognitive vulnerabilities to psychopathology, (b) the relations between vulnerabilities and dispositional traits, and (c) the mediating role of vulnerabilities between dispositional traits and psychopathological symptoms. Self-report questionnaires were administered to two independent samples in Study 1 (total N=274), whereas a longitudinal experience-sampling method was employed in Study 2 (N=100). All samples consisted of college students. Results suggested that affective-cognitive vulnerabilities showed a pattern of intercorrelations consistent with a 2-factor model representing general vulnerability to internalizing and externalizing psychopathology, respectively. The vulnerabilities also revealed common and unique aspects when mapped onto the trait structure represented by the Five-Factor Model. Most important, affective-cognitive vulnerabilities were found to constitute proximal-specific mechanisms that mediated between distal-broad dispositional vulnerabilities, such as Neuroticism, and different psychopathological symptoms. Our data support a model of personality-psychopathology relations that benefits from an integration of both the dispositional trait and social-cognitive approaches.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.004 | 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