Personality Predispositions to Depression: A Test of the Specific Vulnerability and Symptom Specificity Hypotheses
Bibliographic record
Abstract
Researchers from diverse theoretical orientations have proposed that certain personality predispositions serve as vulnerability factors to depression. Psychodynamic theorists have proposed the personality predispositions of dependency and self-criticism whereas cognitive theorists have proposed sociotropy and autonomy. The goal of the current study was to test the specific vulnerability and symptom specificity hypotheses of these two theories. One hundred thirty-six high school seniors completed measures of the four personality predispositions. They then recalled the most stressful event that had occurred in the past year and characterized their emotional experience during that time. In line with the specific vulnerability hypothesis, both dependent and sociotropic individuals were more likely to recall an event with self-attributed interpersonal meaning than achievement meaning. Similarly, self-critical individuals were more likely to recall an event with self-attributed achievement meaning than interpersonal meaning. In line with the symptom specificity hypothesis, dependent, sociotropic, and self-critical individuals who recalled an event congruent with their personality predisposition exhibited patterns of depressive affect in concordance with theorists' descriptions. At the same time, contrary to predictions, autonomous individuals were more likely to recall an event with self-attributed interpersonal meaning. In addition, autonomous individuals who recalled an achievement event did not exhibit patterns of depressive affect in line with theorists' descriptions. Overall, find ings were similar for dependency and sociotropy; however, results provided better support for the psychodynamic conceptualization of self-criticism than the cognitive conceptualization of autonomy.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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 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".