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2020· article· W4235857797 on OpenAlexaff
Luh Nik Armini, Komang Sulyastini, Ketut Espana Giri, Luh Ari Arini

Bibliographic record

VenueMIDWINERSLION Jurnal Kesehatan STIKes Buleleng · 2020
Typearticle
Language
FieldHealth Professions
TopicHealthcare Quality and Satisfaction
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsWork (physics)NursingService (business)Center (category theory)Qualitative researchService delivery frameworkObstetricsMedicineSociologyBusinessEngineeringMarketing

Abstract

fetched live from OpenAlex

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.879
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1210.043

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.

Opus teacher head0.246
GPT teacher head0.425
Teacher spread0.179 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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