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
Introduction A majority of population based studies suggest prevalence of depressed mood and anxiety is most common during late adolescence to early adulthood. Mental health status has been linked previously to socioeconomic status in adults. The purpose of this systematic literature review is to clarify if socioeconomic status (SES) is a risk indicator of depressed mood or anxiety in youth between the ages of 10 to 15 years old. Methods We performed a systematic literature review to identify published or unpublished papers between January 1, 1980 and October 31, 2006 that reviewed depressed mood or anxiety by SES in youth aged 10-15 years. Results We found nine studies that fulfilled our inclusion criteria and passed the methodological quality review. The prevalence of depressed mood or anxiety was 2.49 times higher (95% CI2.33-2.67) in youth with low SES in comparison to youth with higher SES. Discussion The evidence suggests that low SES has an inverse association with the prevalence of depressed mood and anxiety in youth between the ages of 10 to 15 years old. Higher rates of depressed mood and anxiety among lower socioeconomic status youth may impact emotional development and limit future educational and occupational achievement. Conclusion Lower socioeconomic status is associated with higher rates of depressed mood and anxiety in youth.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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