Assessment of Employees’ Perception of Workplace Diversity and its Influence on Job Satisfaction: Insights from Calgary Economic Region
Bibliographic record
Abstract
Abstract The Worlds constantly changing work environment and the continual increase of multiculturalism, diversity, and inclusion have become an important issue among Human Resources practitioners and business leaders. Few studies have focused on how an employee’s perception of diversity impinges on their job satisfaction. This study quantitatively investigated how employees perceive workplace diversity and the inherent effects of such perceptions on their job satisfaction. Survey data was collected from 430 employees in the Calgary Economic region. The results showed that age is not a significant factor in employees’ perception of workplace diversity. However, their level of job satisfaction differed significantly. The results also showed that employees’ perception of workplace diversity and job satisfaction differed significantly based on sexual orientation, level of education, and ethnic origin. On the other hand, employees’ perceptions of workplace diversity and job satisfaction did not differ significantly based on gender and marital status. The study further revealed that the perception of workplace diversity programs is positively related to job satisfaction. Keywords: Workplace Diversity, Job Satisfaction, Motivation, Calgary Economic Region, Social Identity.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 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".