Registration of Underage Marriage Perspectives of Marriage Registrat Officer in Gorontalo City
Bibliographic record
Abstract
Penelitian ini bertujuan mengetahui dan menganalisis pandangan Pegawai Pencatat Nikah pada Kantor Urusan Agama di Kota Gorontalo terhadap pencatatan perkawinan di bawah umur. Penelitin ini merupakan penelitian lapangan. Pendekatan yang digunakan adalah pendekatan hukum dan pendekatan sosiologis. Data dikumpulkan melalui pengamatan, wawancara dan dokumentasi. Selanjutnya diolah dan dianalisis dengan deskriptif kualitatif. Hasil penelitian menunjukkan bahwa: Pertama, tingkat perkawinan di bawah umur pada wilayah KUA di Kota Gorontalo meningkat tiap tahunnya sejak 2016 sampai 2018. Berbagai alasan dikemukakan para pihak, baik calon pengantin maupun keluarga untuk dapat melaksanakan perkawinan di bawah umur; Kedua, pada prinsipnya para Pegawai Pencatat Nikah di Kota Gorontalo memahami dan melaksanakan aturan pencatatan nikah berdasarkan Peraturan Menteri Agama Nomor 19 Tahun 2018 tentang Pencatatan Perkawinan.
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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 | 0.003 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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; 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".