Impact of Social Capital on the Psychological Well-Being of Adolescents
Bibliographic record
Abstract
This study examines the impact of social capital and individual/family characteristics on the psychologicalwell-being of 12- to 17-year-old adolescents in the United States. The data were provided by the National Surveyof America’s Families (NSAF). In order to examine the abovementioned effects, social capital as well asindividual/family characteristics are included using ordinary least squares (OLS) regression models. The findingsare important since empirical validation of the theoretical relationship between social capital andindividual/family characteristics, as well as the psychological well-being of adolescents, is not found in theliterature. The concept of social capital in the literature is only elaborated as having three distinct dimensions(bonding, bridging, and linking), which suggests that further research using measurement models should focuson these dimensions in order to explore whether a more precise relationship can be discovered.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 teacher head, 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".