Organizational Politics: Scarcity of Resources, Employee’s Personality & Employee’s Diversity
Bibliographic record
Abstract
Employees of different backgrounds are employed to help achieve corporate objectives. The complexities that exist among these employees are expected to be effectively managed through proper organizational political practices. As such, this study examines the relationship between organizational politics and employee’s diversity in Akwa Ibom State Local Government Service Commission. Using a survey research design, 118 employees of the commission were examined and the findings revealed that scarcity of resources has positive and significant relationship with employees’ diversity in Akwa Ibom State Local Government Service Commission (r = 0.614, p<0.000); and employee’s Personality has positive and significant relationship with employees’ diversity in Akwa Ibom State Local Government Service Commission (r = 0.662, p<0.000). It was concluded that organizational politics has positive and significant relationship with employees’ diversity in Akwa Ibom State Local Government Service Commission. It was recommended that top level managers in the commission should encourage fair and equitable practices in the organization as this would help to lessen high political practices among the employees.
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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 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".