Bibliographic record
Abstract
Midwifery services are activities providing assistance by midwives who are trained and licensed to mothers. Midwives must prioritize the delivery of midwifery services based on local wisdom or local culture so that between service providers and service recipients there is a balanced relationship. This study aims to determine the implementation or application of the concept of Tri Hita Karana in midwifery service practice in the Midwife Independent Practices in the Work Area of the Buleleng I Community Health Center. This type of research is a case study with a qualitative approach. Data is collected through observation and interviews. All participants have implemented the concept of Tri Hita Karana in Midwifery Service Practices in the Midwife Independent Practice in the Work Area of the Buleleng I Community Health Center
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 | 0.010 | 0.011 |
| Meta-epidemiology (narrow) | 0.003 | 0.004 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.007 |
| Science and technology studies | 0.011 | 0.001 |
| Scholarly communication | 0.001 | 0.006 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.018 |
| Insufficient payload (model declined to judge) | 0.003 | 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".