Validation of a reduced version of the child and youth resilience measure (CYRM-28) for public health use in Aotearoa New Zealand
Bibliographic record
Abstract
Globally, there is increasing need to address the burden of mental illness on populations, including youth, and increasing recognition of the role of social determinants on mental health. The study of resilience, as an ecological process of individual and community resource mobilisation in the face of adversity, is a promising lens through which to understand culturally and contextually relevant factors that enhance or inhibit mental wellbeing. This paper reports on a validation of a reduced, 2-factor, 17-item form of the child and youth resilience measure (CYRM-28) on a population of youth in Aotearoa (New Zealand) who were involved in multiple service systems, including child and adolescent mental health services. It builds on previous work which validated the full 28-item scale. It responds to needs articulated by researchers and service providers for a shortened version of the CYRM-28 that reduces assessment burdens on youth and clinicians. The reduced form may be helpful in mental health settings to quickly understand the resilience resources around vulnerable youth and support interventions that build on strengths and directly address areas where resources are missing.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".