A Psychometric Assessment of the Self-Reported Youth Resiliency: Assessing Developmental Strengths Questionnaire
Bibliographic record
Abstract
As opposed to the problem-based approach of dealing with specific at-risk behaviors, the objective of the self-reported Youth Resiliency: Assessing Developmental Strengths questionnaire is to provide a statistically sound and research-based approach to understanding the factors that contribute to the development of adolescent resiliency. The study of protective factors, or the more recent attempts at conceptualizing the phenomena of individual resiliency, has been prevalent in the social and health sciences research for decades. In this study, the psychometric characteristics of the Youth Resiliency questionnaire, based on a large urban sample of Grades 7 to 9 adolescents (N= 2,291), are presented. The findings from this study present a potential framework for understanding the construct and function of resiliency as it pertains to both the extrinsic and intrinsic factors of adolescent 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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".