The Effect of Work Motivation, Work Discipline and Leadership on Employee Performance at the Public Works, Spatial Planning and Land Office of South Solok Regency
Bibliographic record
Abstract
This research aims to determine the effect of work motivation on employee performance at Public Works, Spatial Planning and Land Office of South Solok. The influence of work discipline on the performance of employees in the Public Works, Spatial and Land Office of South Solok Regency, Effect of Leadership on Employee Performance at the Department of Public Works, Spatial Planning and Land of South Solok and the influence of work motivation, work discipline and leadership on performance at the Department of Employment General, Spatial and Land Affairs of South Solok Regency. The sample used was 51 people against employees of the Public Works, Spatial and Land Office of South Solok Regency. The analysis used in this study is multiple linear regression which measures the effect of independent variables on the dependent variable. The results of this research indicate that motivation has a significant effect on the performance of employees of the Public Works, Spatial Planning and Land Office of South Solok, Work discipline does not have a significant effect on Performance at the Public Works, Spatial and Land Office of South Solok Regency, Leadership has a significant effect on employee performance Public Works, Spatial Planning and Land Office of South Solok Regency and Motivation, Work Discipline and Leadership influence the performance of employees of the Public Works, Spatial and Land Office of South Solok Regency.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".