Depression Symptoms, Mattering, and Anti-mattering: Longitudinal Associations in Young 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
We examined the dynamic interplay of depression symptoms, mattering (i.e., self-evaluation of importance or significance to others), and anti-mattering across four years of development in young adulthood (age 20–23; N = 452) using a cross-lagged panel model (CLPM). Support for a transactional model between anti-mattering and depression symptoms was found. Specifically, anti-mattering positively predicted later depression symptoms and depression symptoms consistently predicted later anti-mattering. Depression symptoms also shared a negative association with later mattering but not the reverse, supporting a symptoms-driven model of depression symptoms and mattering. Auto-regressive paths, residual covariances, and cross-lagged paths were invariant over time. Accounting for gender, household income, parental education, and fear of COVID-19 as covariates did not change the results. The stability of mattering and anti-mattering suggest careful consideration of how to effectively change these patterns. The implications for assessment and intervention on mattering or anti-mattering in the prevention and treatment of depression are discussed.
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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