Feelings of not Mattering and Depressive Symptoms From a Temporal Perspective: A Comparison of the Cross-Lagged Panel Model and Random-Intercept Cross-Lagged Panel Model
Why this work is in the frame
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Bibliographic record
Abstract
Are feelings of not mattering an antecedent of depressive symptoms, a consequence, or both? Most investigations focus exclusively on feelings of not mattering as an antecedent of depressive symptoms. Our current study examines a vulnerability model, a complication model, and a reciprocal relations model according to a cross-lagged panel model (CLPM) and a random-intercept cross-lagged panel model (RI-CLPM). A sample of 197 community adults completed the General Mattering Scale (GMS), the Anti-Mattering Scale (AMS), and a depression measure at three time points (i.e., baseline, 3 weeks, and 6 weeks). GMS and AMS scores were associated robustly with depressive symptoms at each time point. Other results highlighted the need to distinguish levels of anti-mattering and mattering. CLPM analyses supported a reciprocal relations model of anti-mattering (assessed by the AMS) and depressive symptoms and a complication model linking mattering (assessed by the GMS) and depressive symptoms. The RI-CLPM analyses provided tentative support only for a complication model of anti-mattering and depressive symptoms. Our findings highlight the differences between measures of the mattering construct and the need to adopt a temporal perspective that considers key nuances and the interplay among feelings of mattering, feelings of not mattering, and depression.
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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) | 0.001 | 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 | 0.001 |
| 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