Bibliographic record
Abstract
1. Kesatuan desa tergantung pada kekerabatan. 1a. Ketakutan poga'aka dan kasolora. 2. Tiga kewajiban masyarakat. 3. Pemecahan desa. Pembentukan suku. 4. Koloni Toraja Timur. 5. Kedudukan sosial. Kepala. 6. Tugas Kepala dan pengaruhnya terhadap karakternya. 7. Bahaya yang berhubungan dengan Kepemimpinan. 8. Pengaruh Kepala Desa di luar desanya. 9. Penguasa negara. Datu Luwu’. 10. Hak Wotu atas Toraja. Upeti kepada Luwu’. 11. Lingkup pengaruh Waibunta. 12. Kewajiban lain Toraja kepada Datu Palopo. 13. Kekuasaan dan Martabat Datu Luwu’. 14. Kisah La Dondorio dan To Ngoyu. 15. Datu-ri-tana Mori. 16. Hubungan Datu-ri-tana dengan Datu Luwu’. 17. Upeti kepada Datu-ri-tana. 18. Hubungan To Pebato dengan Magau Sigi. 19. Kontak dengan Parigi. 20. Penguasa (Jena) Tojo. 21. Suku-suku yang pemilik budak. 22. Mengapa beberapa suku memiliki kedudukan budak dan yang lainnya tidak. 23. Asal usul budak turun temurun. Hubungan antara yang merdeka dan yang budak. 24. Perbedaan karakter antara yang merdeka dan yang budak. 25. Keadaan budak. 26. Pengaruh perbudakan pada masyarakat. 27. Pengaruh perbudakan pada karakter. 28. Milik masyarakat. 29. Kontak pertama dengan Orang Belanda. 30. Awal upaya misionaris di Sulawesi Tengah. 31. Penaklukan Toraja Timur. 32. Kontak masyarakat Toraja dengan Pemerintahan Barat. Para Kepala. 33. Kerja paksa dan pajak. 34. Pemerintah dan perbudakan. 35. Kristenisasi Toraja Timur.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.089 | 0.051 |
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".