Cognitive schemas as longitudinal predictors of self-reported adolescent depressive symptoms and resilience
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
Given that depression risk intensifies in adolescence, examining associates of depressive symptoms during the shift from childhood to adolescence is important for expanding knowledge about the etiology of depression symptoms and disorder. A longitudinal youth report was employed to examine the trajectory of both the content and structure of positive and negative schemas in adolescence and also whether these schemas could prospectively predict depressive symptoms and youth-reported resilience. One hundred and ninety-eight participants (aged 9 to 14) were recruited from four schools to complete measures of youth depressive symptoms, resilience, and schema content and structure. Those who consented to a follow-up study completed the same measures online (50 participants completed). Negative and positive schema content and structure were related over time. After controlling depressive symptoms/resilience at Time 1, negative schema content was the only significant predictor (trend level) of depressive symptoms and resilience at Time 2. Implications for cognitive theories and clinical practice are discussed.
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) | 0.000 | 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