Personality Predispositions to Depression in Children of Affectively-Ill Parents: The Buffering Role of Self-Esteem
Bibliographic record
Abstract
A major theory of personality predispositions to depression posits that individuals who possess high levels of self-criticism and/or dependency are vulnerable to developing depression following negative life events. The goal of the current study was to test this theory of personality predispositions and the self-esteem buffering hypothesis in a sample of youth using an idiographic approach, a high-risk sample, and a multiwave longitudinal design. One hundred forty children aged 6 to 14 completed measures of dependency, self-criticism, self-esteem, and depressive symptoms. Over the course of the following year, 8 follow-up assessments were conducted 6 weeks apart during which all children were administered measures assessing depressive symptoms and the occurrence of negative events. Results of hierarchical linear modeling analyses indicated that higher levels of dependency were associated with greater increases in depressive symptoms following negative events among children possessing low, but not high, self-esteem. In contrast, self-criticism was not associated with changes in depressive symptoms over time regardless of children's levels of stress and/or self-esteem.
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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 | 0.001 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".