Bibliographic record
Abstract
Public Health Care activities in Bengkulu city were only well implemented in Ratu Agung Public Health Center, Padang Serai Public Health Center, Beringin Raya Public Health Center, and Betungan Public Health Center. Public Health Center is regularly sent statements. There are 8751 households vulnerable in the city of Bengkulu, and 500 families who have fostered (5.71%). The purpose of this research was to determine the factors associated with the implementation of public health care in Bengkulu City. The type of this research was analytic cross-sectional design. The research population were public health care’s nurse managers in 20 public health centers in Bengkulu city, amounting 24 people. Samples were taken with a total sampling technique. Data were collected by using questionnaires and observation guidelines. The data were analyzed using univariate, bivariate analysis using Pearson product moment correlation test and chi-square. The results showed that almost half (45.8%) of respondents stated public health care implementation in public health centers were less category. The bivariate analysis showed that the independent variables associated with the implementation of public health center activities in Bengkulu city were variables of planning (p = 0.025) and control variables (p = 0.014), whereas the variables of training, knowledge, attitude, skill, organization, and mobilization/implementation were not connected. To improve the implementation of public health care activities in public health centers in Bengkulu city, Health Office should requires all public health center leaders implementing the good planning functions and control the human resource of nurse managers.
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.
How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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; both teacher heads agree on what is shown here.
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".