Measuring Post-Secondary Student Resilience Through the Child & Youth Resilience Measure and the Brief Resilience Scale
Bibliographic record
Abstract
This thesis examines how the Child Youth Resilience Measure (CYRM-12) and the Brief Resilience Scale (BRS) measure post-secondary student resilience as viewed by the University of Toronto in Toronto, Canada, which breaks down resilience into competence domains and adaptive resources. Cognitive interviews were conducted to assess item comprehension, with some items causing confusion with students. The two scales were administered in a survey instrument for a sample of 87 second- and third-year undergraduate students. Internal consistency reliability is high for both the CYRM-12 (Cronbachâ s alpha = .82) and the BRS (Cronbachâ s alpha = .83). Exploratory Factor Analysis yielded a 3-factor solution for the CYRM-12 representing family, friends and community, and a 1-factor solution for the BRS representing the ability to recover from stress. Scores from both scales indicate strengths in motivation and achievement orientation with more variability in familial relations and community belongingness. Limitations include a low response rate.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".