Depression, self-esteem, and anger in emerging adulthood: Seven-year trajectories.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 it