Validation of the Karasek-Job Content Questionnaire to Measure Job Strain in Vietnam
Bibliographic record
Abstract
The objective of this study was to validate the Karasek-Job Content Questionnaire in Vietnamese. A translation/back-translation of the questionnaire was performed prior to its administration to 344 health personnel in Vietnam. Several psychometric properties of the Vietnamese version of the Karasek-Job Content Questionnaire were assessed. A valid Vietnamese version of the Karasek-Job Content Questionnaire was produced, composed of five subscales based on the original theoretical model: Psychological demands, Social support at work, Decision latitude-Autonomy, Decision latitude-Authority, and Skill discretion. Internal consistency and reliability coefficients for each subscale of the questionnaire were satisfactory. The correlations with depression and work absence indicators were weak but statistically significant, as expected. The Vietnamese version of the Karasek-Job Content Questionnaire will help Vietnamese researchers and clinicians appropriately evaluate and document the job strain of workers in Vietnamese workplaces.
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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 | 0.007 | 0.011 |
| 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".