Validation of the English and French versions of the Brief Health Care Climate Questionnaire
Bibliographic record
Abstract
Patient autonomy is a central value in medicine and critical component of adherence to medical advice. This article reports on a validation of the 6-item version of the Health Care Climate Questionnaire (HCCQ), a measure of autonomy support in health care settings, in a sample of 242 melanoma patients. The HCCQ showed excellent internal consistency ( α = .91), structural validity (Tucker–Lewis index = .99; comparative fit index = .99; root mean square error of approximation = .06, 90 per cent confidence interval (.00, .11); standardized root mean square residual = .02; χ 2 (8, N = 235) = 13.99, p = .08) and construct validity (92.31% of hypothesized correlations with other measures confirmed). Acceptable 3-month test–retest reliability was observed ( r = .55, p < .001; intraclass correlation coefficient ( A, 1) = .54, p < .001). The French version was found equivalent to the English version.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".