Bibliographic record
Abstract
1. Kedudukan sosial dalam masyarakat Toraja. 2. Kaum bangsawan. 3. Penghormatan kaum bangsawan. 4. Kekuasaan kaum bangsawan. 5. Kewajiban rakyat terhadap kaum bangsawan. 6. Orang-orang biasa. 7. Bangsawan rakyat. 8. Budak. 9. Jual beli budak. 10. Kedudukan budak terhadap tuannya. 11. Hak seorang budak. 12. Pernikahan antar orang yang berbeda pingkatan. 13. Pernikahan seorang budak dengan gadis bangsawan. 14. Memberikan keadilan. 15. Denda. 16. Sidang pencurian.17. Pencurian beras. 18. Perlindungan terhadap dan deteksi pencurian. 19. Pengadilan terhadap tindakan melukai, membunuh dan membakar. 20. “Menutupi kasus” dengan tanah. 21. Mengutuk diri sendiri dan bersumpah. 22. Penolakan persahabatan dan memutuskan hubungan persaudaraan. 23. Membatalkan penolakan. 24. Melakukan penghakiman kedewaan. 25. Penghakiman kedewaan dengan ayam betina. 26. Menyelam dan mengebor tanah sebagai penghakiman kedewaan. 27. Cara-cara lain untuk melakukan penghakiman kedewaan. 28. Hukum Hutang.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.096 | 0.049 |
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".