PELAKSANAAN SOSIALISASI PROGRAM PENCEGAHAN PERKAWINAN DI BAWAH UMUR PADA DINAS PENGENDALIAN PENDUDUK DAN KELUARGA BERENCANA KABUPATEN LAMPUNG SELATAN
Bibliographic record
Abstract
Penelitian bertujuan untuk mendeskripsikan Pelaksanaan Sosialisasi Program Pencegahan Perkawinan di Bawah Umur pada Dinas Pengendalian Penduduk dan Keluarga Berencana Kabupaten Lampung Selatan.Penelitian ini dilatarbelakangi oleh Perkawinan yang dilangsungkan pada usia 15-19 tahun akan banyak menimbulkan dampak dan berakibat tertentu yang akan di dihadapi oleh kebanyakan pasangan, seperti pertengkaran dalam rumah tangga yang disebabkan oleh kurang dewasanya dalam menghadapi persoalan sehingga tidak sedikit menyebabkan meningkatkan angka perceraian didaerah tertentu.Metode penelitian yang digunakan adalah metode penelitian kualitatif, yaitu suatu analisis berdasarkan data yang diperoleh melalui hasil wawancara, observasi dan dokumentasi.Dengan cara mengorganisasikan data kedalam kategori, memilih mana yang penting dan akan dipelajari, sehingga dapat ditarik kesimpulan dan dalam pembacaannya mudah dipahami.Hasil dari peneliti ialah Pelaksanaan Sosialisasi Program Pencegahan Perkawinan di Bawah Umur pada Dinas Pengendalian Penduduk dan Keluarga Berencana Kabupaten
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.064 | 0.011 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".