Influence Factors Internal and External Factors Motivation and Performance of Employees: Do not Stay Civil Service Policy Unit
Bibliographic record
Abstract
This research of background that directional and effective use of labor represent key toward the make-up of officer performance so that need to District Police Public Service head to make a manage the members always enthusiastic in working and having positive in executing work.Effort roomates can be a head-to Increase the activity spirit of enthusiasm, that is by giving good motivation and job performance.Intention of this research is to know and Analyzed do internal factors variable, external factor variable and motivation have influenced the which significantly either through partial and Also simultaneously to job performance officer, and Also from internal factors variable, external factor variable and motivation is the which most having an effect on the which to job performance officer. This research is a survey verification sampling on 200 people from 236 respondend contract employee population of District Police Public Service Riau Province.This research represent research highlighting clarification relation between research variables and test hypotheses have been Formulated Previously roomates.Hereinafter technique intake of sample is used by population technique, where samples taken pursuant to SEM formula for 25 manifest variables using a minimum of 200 samples.Technique Analyzed using descriptive and quantitative analysis by applying the method of Structural Equation Modelling (SEM) with Analysis of Moment Structures (AMOS) programe.
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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 | 0.005 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".