The rule of competence, compensation, and workshop on employee performance mediated by prime service of public health service
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The purpose of this study was to partially analyze the effect of competence, compensation, and workshop on employee performance and the effect of competence, compensation and workshop on employee performance mediated by a prime service at the Public Health Service or Pusat Kesehatan Masyarakat (Puskesmas) in Indragiri Hulu Regency. The sample of this study was 127 employees of the Puskesmas in Indragiri Hulu Regency. The sample was taken by means of probability sampling in the form of simple random sampling using a lottery technique. Closed questionnaires were used in this study then the data taken from the questionnaires were processed using SmartPLS 3.0. The results of this study were: (1) competence has a significant effect on employee performance variable, (2) compensation has a significant effect on employee performance variable, (3) workshop has a significant effect on employee performance variable, (4) competence has a significant effect on employee performance variables mediated by a prime service, (5) compensation has a significant effect on employee performance variables mediated by a prime service, and (6) workshop has a significant effect on employee performance variables mediated by a prime service.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it