Depression, self-esteem, and anger in emerging adulthood: Seven-year trajectories.
Bibliographic record
Abstract
This study used a school-based community sample (N=920) to examine trajectories of depressive symptoms, self-esteem, and expressed anger in the critical years of emerging adulthood (ages 18-25). Using data from 5 waves, the authors discovered that multilevel models indicated that, on average, depressive symptoms and expressed anger declined, whereas self-esteem increased. Between-persons predictors of variability in trajectories included gender (gender gaps in depressive symptoms and self-esteem narrowed), parents' education, and conflict with parents (depressive symptoms and expressed anger improved fastest in participants with highly educated parents and in those with higher conflict). Across time, increases in social support and marriage were associated with increased psychological well-being, whereas longer periods of unemployment were connected with higher depression and lower self-esteem. Emerging adulthood is a time of improving psychological well-being, but individual trajectories depend on specific individual and family characteristics as well as role changes.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".