Bibliographic record
Abstract
Pernikahan adalah sebuah kebutuhan. Tetap tidak menikah. 2. Kematangan seksual. Haid. 3. Pergaulan antara dua jenis kelamin. 4. Persetubuhan. 5. Hubungan kekerabatan. 6. Pernikahan yang dilarang. 7. Hubungan kekerabatan khusus sehubungan dengan hukum perkawinan. 8. Cara menghapus perbedaan generasi. Wence ntida. 9. Asal persembahan penebusan untuk inses. 10. Bentuk sederhana dari persembahan penebusan. Moandu. 11. Bentuk rumit dari persembahan penebusan. Morambulangi. 12. Pernikahan yang tidak diinginkan. 13. Pertunangan anak. 14. Dimana laki-laki mencari istrinya. 15. Mengapa para pria yang minta pada gadis. 16. Persiapan untuk melamar gadis itu. 17. Pengiriman pinangan. 18. Jawaban pinangan. 19. Mengapa pelamar ditolak. 20. Tekanan yang diberikan pada seorang gadis dan penolakannya. Pelarian untuk kawin. 21. Sarana membangkitkan cinta. 22. Pertunangan.Mompakareme. 23. Pemberkatan pernikahan. Mopawawa. Mebolai. 24. Prosesi pernikahan. 25. Prosesi pernikahan dihentikan. Mobolombongi. 26. Makan pernikahan. 27. Pendakian sampai ke kediaman mempelai wanita. 28. Teguran pasangan pengantin. 29. Akhir dari pesta pernikahan. 30. Mas kawin. "Tujuh." 31. Anjing dan mas kawin. 32. Besarnya mas kawin. 33. Dasar mas kawin. 34. Mas Kawin dan kolokompa (sawu). 35. Kegunaannya mas kawin. 36. "Menurunkan" mempelai wanita. Mantudumaka. 37. Kunjungan istri muda ke mertuanya. 38. Hubungan laki-laki dengan mertuanya. 39. Hubungan antara suami dan istri. 40. Poligami. 41. Perzinahan. 42. Perceraian. 43. Menikah kembali dengan wanita yang telah diceraikan. 44. Pernikahan Kristen.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.252 | 0.162 |
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".