Depressive symptoms can be useful: Self-regulatory and emotional benefits of dysphoric mood in adolescence.
Bibliographic record
Abstract
Propositions derived from evolutionary biology and personality psychology suggest that depressive symptoms may serve adaptive functions by enabling people to adjust to unattainable goals, which in turn promotes quality of life. The authors tested this hypothesis in a longitudinal study of adolescent girls involving 4 waves of data collected over approximately 19 months. The authors expected that high baseline levels of depressive symptoms would facilitate the development of adolescents' goal adjustment capacities (i.e., goal disengagement capacities and goal reengagement capacities). In addition, the authors expected that improvements in goal adjustment capacities over time would presage lower levels of subsequent depressive symptoms. Data from the first 3 waves produced results demonstrating that baseline levels of depressive symptoms predicted an increase in goal disengagement capacities over time but not in goal reengagement capacities. Moreover, increases in goal disengagement capacities predicted a reduction in subsequent depressive symptoms. The findings suggest that depressive symptomatology may serve adaptive functions by facilitating the development of goal disengagement capacities in adolescence.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".