Specific Vulnerability to Depressive Mood Reactions in Schoolchildren: The Moderating Role of Self-Esteem
Bibliographic record
Abstract
Tested the specific vulnerability hypothesis of Blatt and Zuroff's (1992) theory of personality predispositions to depression in a sample of 119 3rd-grade children (58 girls and 61 boys; mean age = 8.8 years) and 184 7th-grade children (78 girls and 106 boys; mean age = 12.8 years). In addition, we examined whether high self-esteem buffers against depressive reactions following negative events in children possessing high levels of self-criticism or dependency. Last, we examined whether these relations vary as a function of grade or sex. At baseline, participants completed questionnaires assessing depressed mood, self-criticism, dependency, and self-esteem. Six weeks later, participants completed questionnaires assessing depressed mood and negative events. Results provided limited support for the specific vulnerability hypothesis.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".