Analisis Faktor yang Memengaruhi Kebutuhan Ber-KB dengan Pendekatan Social Cognitive Theory (Studi di Kecamatan Genteng Surabaya)
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
Increased population growth was a problem faced by Indonesia. One of reason is because of the high unmet need for family planning. This research analyzed Influence factor family planning needs based on social cognitive theory. The research was quantitative study with a cross sectional design. Samples were married woman with the age of 15–49 years who don’t to have children or postpone their pregnancy either by using contraception or not as many as 70 womans and taken by simple random sampling. The independent variable were observational learning, outcome expectation, self efficacy, husband support, access to information, and access to health services. The dependent variable of this study was family planning needs. Quantitative data were analyzed using binary logistic regression test. A quarter of respondents were of unmet need for family planning. There was influence observational learning, husband support, and access information to family planning needs. This research concluded that was the determinant factor that influence to family planning need was access to information.
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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