PERCEPTIONS OF NEIGHBORHOOD CHARACTERISTICS AND THE PERCEIVED PSYCHOSOCIAL AND ACADEMIC OUTCOMES OF U.S. CHILDREN AND ADOLESCENTS
Bibliographic record
Abstract
Data from the 2007 National Survey of Children’s Health were used to examine a model of the ways in which neighborhood structural characteristics and social processes (NSCSP) impact children’s (age = 6–11; N = 27,752) and adolescents’ (age = 12–17; N = 36,233) social adjustment and school engagement via parenting and family processes (i.e., parent–child interactions).The questions investigated were: how are distinct aspects of NSCSP associated with parental stress and well-being, and with youth social adjustment and school engagement? Are parental stress and well-being linked with family processes, and are family processes predictive of youth social adjustment and school engagement? Finally, does age moderate the associations linking NSCSP to developmental outcomes via parenting stress and well-being and family processes? Results from a multigroup structural equation model supported the general nature of hypothesized relationships: distinct aspects of NSCSP were differentially predictive of children and adolescents’ social adjustment and school engagement. Furthermore, the direct effects of NSCSP were mediated (some partially and others completely) by parenting stress and well-being and family processes. Finally, age moderated the effects of social cohesion on both social adjustment and school engagement; as well, age moderated the effects of parenting stress and well-being on family processes, and on the effects of family processes on social adjustment and school engagement.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".