Validation of the multidimensional sense of humor scale in people with chronic kidney disease
Bibliographic record
Abstract
Multidimensional Sense of Humor Scale (MSHS) was developed by Thorson and Powell and it was validated in Portuguese, but not in people with chronic kidney disease (CKD). This study examined the psychometrics of the MSHS in people with CKD on hemodialysis. A random sample of 171 people with CKD undergoing hemodialysis was selected. Exploratory Factor Analysis revealed a structure with three factors, “Humor Production and Social Use of Humor”, “Adaptive Humor and Appreciation Humor” and “Attitude Towards Humor”, with Alpha Cronbach values of 0.93, 0.90 and 0.83 respectively. It revealed stability in both interview and questionnaire methods. It showed moderate positive correlations with Positive Affect, Subjective Happiness and Wellbeing Personal Index, and moderate negative correlation with Negative Affect. Therefore, MSHS shows evidence of being a valid, reliable and reproducible scale either by questionnaire or interview.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".