Understanding High Performance Work System (HPWS) as Related to creativity and Job Engagement in Kurdistan and Canada
Bibliographic record
Abstract
To understand the high performance Work system, the study determined the impact of high performance system in the organizational setup in Kurdistan and Canada. The research was quantitative in nature where participants were selected randomly from the different companies in Kurdistan and Canada. A total of 318 (Kurdistan) and 293 (Canada) data was collected where analysis was conducted with the SPSS 21. The study found out that there is a significant strong positive relationship between Human resource practices and creativity with the Pearson correlation coefficients r = 0.903 with the p-value <0.01. On the other hand the study found out that there is negative relationship between human resource practices and job engagement. The interaction effects of the high performance work systems human practices and the job engagement, organizational identification, and creativity was significant with the p-value <0.01. Keywords: High performance, organizational performance, workplace system
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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".