Adolescents in rural communities seeking help: who reports problems and who sees professionals?
Bibliographic record
Abstract
BACKGROUND: This study examined whether adolescents who were at various stages of the help-seeking process differed on demographic characteristics, use of informal helpers, and markers of emotional and behavioral adjustment. METHOD: Youths (N = 644; Grades 7-12) living in three rural communities completed a survey at school. Three comparisons were made: teenagers who reported having serious problems versus few or no problems in the past year; teenagers who felt that they did or did not need professional help with these problems; and teenagers who had or had not sought professional help. RESULTS: Rural youths with serious problems were more likely to be girls and to be living with someone other than a parent, were less likely to talk to family members about problems, and reported more negative emotional and behavioral adjustment. Teenagers who perceived a need for professional help also reported poorer emotional and behavioral adjustment. Adolescents who sought professional help were more likely to be in senior high, were less likely to talk to others about problems, and were lower on anxiety. CONCLUSIONS: Rural adolescents' demographic characteristics, use of informal helpers, and markers of emotional and behavioral adjustment each contribute to our understanding of their help-seeking behavior. Future studies must examine how these and other variables combine to discern who reports problems, who perceives a need for help, and who sees professionals.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".