The family quality of life survey-2006: an examination of relationships between objective and subjective data
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Family quality of life (FQOL) includes objective and subjective factors representing wellbeing for families of individuals with intellectual and developmental disabilities. The current project investigated the integration of objective and subjective data using the Family Quality of Life Survey - 2006 (FQOLS-2006). METHOD: 169 parents/caregivers of individuals with intellectual and developmental disabilities participated. Relationships were examined between objective information from the A Sections of the Health, Finances, and Support from Services domains of the FQOLS-2006, and more subjective FQOL ratings in the B Sections. RESULTS: We found strong relationships between the objective and subjective sections of the FQOLS-2006. Respondents reporting challenges in the A Sections generally reported lower Attainment/Satisfaction ratings in the B sections. However, some responses were discrepant. CONCLUSION: Objective and subjective measurements of FQOL were consistent but independent. Each type of measurement provided unique information and FQOL is best understood through the integration of these methods.
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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 | 0.018 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it