Testing Karasek???s Demands-Control Model in Restructured Healthcare Settings
Bibliographic record
Abstract
BACKGROUND: Job strain among staff nurses has become an increasingly important concern in relationship to employee performance and commitment to the organization in current restructured healthcare settings. OBJECTIVES: The purpose of this study was to test Karasek's Demands-Control Model of job strain by examining the extent to which the degree of job strain in nursing work environments affects staff nurses' perceptions of structural and psychological empowerment, work satisfaction, and organizational commitment. METHOD: A predictive, nonexperimental design was used to test these relationships in a random sample of 404 Canadian staff nurses. Karasek's Job Content Questionnaire, the Conditions of Work Effectiveness Questionnaire-II, Spreitzer's Psychological Empowerment Questionnaire, Meyer and Allen's Organizational Commitment Questionnaire, and the Global Satisfaction Scale were used to measure the major study variables. RESULTS: Nurses with higher level of job strain were found to be significantly more empowered, more committed to the organization, and more satisfied with their work. CONCLUSIONS: Support for Karasek's Demands/Control theory was established in this study.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".