Analisis Putusan Mahkamah Konstitusi Nomor 22/PUU-XV/2017 Tentang Batas Usia Nikah Bagi Perempuan
Bibliographic record
Abstract
Hukum positif Indonesia membedakan batasan minimal umur nikah antara laki-laki dan perempuan, perbedaan ini dinilai menimbulkan polemik. Olehnya, Undang-Undang No. 1 Tahun 1974 tentang Perkawinan digugat dan diuji di depan sidang Mahkamah Konstitusi. Penelitian ini bertujuan untuk mengetahui landasan Pemohon mengajukan judicial review dan Pertimbangan Mahkamah Konstitusi Dalam Putusan Nomor 22/PUU-XV/2017. Penelitian ini merupakan penelitian kepustakaan (library research) dengan menggunakan pendekatan kualitatif. Hasil penelitian menyimpulkan bahwa alasan para Pemohon adalah karena terlanggarnya hak anak yang meliputi kesehatan, pendidikan, eksploitasi anak dan perbedaan usia nikah di negara lain. MK mengabulkannya permohonan para Pemohon karena Pasal 7 ayat (1) telah menimbulkan diskriminasi atas dasar jenis kelamin yang berdampak pada tidak terpenuhinya hak anak perempuan sebagai bagian dari hak asasi manusia yang telah di jamin dalam Undang-Undang Dasar 1974.
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 | 0.005 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.004 |
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".