Breadth and intensity: Salient, separable, and developmentally significant dimensions of structured youth activity involvement
Bibliographic record
Abstract
In recent years, an impressive volume of evidence has accumulated demonstrating that youth involvement in structured, organized activities (e.g. school sports, community clubs) may facilitate positive youth development. We present a theory-based framework for studying structured activity involvement (SAI) as a context for positive youth development based on two key dimensions: breadth and intensity of involvement. Our main goal is to demonstrate the separability, salience, and developmental significance of these two dimensions. We review three developmental theoretical approaches (identity development, life-span selection-optimization-compensation theory, and affordances) that support our conceptualization of breadth and intensity as salient and significant dimensions of SAI. We also summarize our recent program of research on SAI demonstrating the separability of breadth and intensity dimensions, which shows links between these dimensions and indicators of positive development. Finally, we discuss how the proposed breadth-intensity approach could be used to extend research on the linkage between youth SAI and successful development.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".