Change in Depression Symptoms Through Emerging Adulthood
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
Existing research suggests there may be important association between mental health and the employment that emerging adults obtain during the transition into the workforce. Hierarchical linear modeling (HLM) was used to examine the trajectories of emerging adults’ depression symptoms over a 4-year period, as a function of two characteristics of employment: type of work (i.e., full-time or not) and job satisfaction (i.e., highly satisfied with work or not). The sample consisted of 793 young Canadians drawn from the National Longitudinal Survey of Children and Youth. On average, depression symptoms decreased significantly over time. Full-time employment was associated with lower initial levels of depression and a slower decrease in symptoms. Higher job satisfaction also associated with lower initial levels of depression symptoms. These results suggest it is important to consider both these characteristics of employment to more fully understand how employment is connected to depression symptoms over time.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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