A comparison of humor styles, coping humor, and mental health between Chinese and Canadian university students
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
Abstract This research compares the structure and correlates of the Humor Styles Questionnaire (HSQ) and Coping Humor Scale (CHS) in the Chinese context with those of Canadian samples. Chinese translations of the HSQ, CHS, and Symptom Checklist 90 (SCL-90) were administered to 354 Chinese university students (M = 23.4 years of age, SD = 3.6). As in the original Canadian samples, four humor factors were found in the HSQ: Affliative, Self-enhancing, Aggressive, and Self-defeating humor, and one factor was found in the CHS. The HSQ and CHS scale reliabilities in the Chinese sample were generally acceptable. Chinese participants, as compared to Canadian norms, reported significantly lower scores on the HSQ subscales and CHS, particularly on Aggressive humor. No significant gender differences were found on the four HSQ subscales in the Chinese sample, whereas Canadian males reported more use of Aggressive and Self-defeating humor than did females. Although no gender difference was found on Coping humor in the Canadian samples, Chinese males had significantly higher scores on this scale than did females. In both the Chinese and Canadian samples, younger participants reported more use of Affliative and Aggressive humor than did older ones. Affliative, Self-enhancing, and Coping humor were negatively correlated, while Aggressive and Selfdefeating humor were positively correlated with the subscales and General Symptomatic Index of the SCL-90. Regression results indicated that mental health is more strongly related to Self-enhancing, Self-defeating, and Coping humor than Affliative and Aggressive humor. Overall, the findings support the theoretical structure and usefulness of the HSQ and CHS in the Chinese context.
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.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| 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