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Record W4404916960 · doi:10.25071/2563-2418.120

BAB V: PERANG

2024· article· id· W4404916960 on OpenAlexvenueno aff
Albert C. Kruyt

Bibliographic record

VenueLOBO Annals of Sulawesi Research · 2024
Typearticle
Languageid
FieldArts and Humanities
TopicMedical Research and Islamic Perspectives
Canadian institutionsnot available
Fundersnot available
KeywordsGeology

Abstract

fetched live from OpenAlex

1. Penyebab perang. 2. Meminta bantuan. 3. Tetap bernetral. 4. Permintaan untuk tetap netral. 5. Jagoan atau pemimpin pasukan, yaitu tadulako. 6. Tadulako utama. 7. Hubungan Tadulako utama dan kapten. 8. Peraturan untuk dan berkenaan dengan tadulako. 9. Larangan makanan bagi tadulako. 10. Siapa yang berperang. 11. Jimat. 12. Isi jimat. 13. Jenis kayu pada jimat. 14. Batu Bezoar (korpolit). 15. Jimat diberi makan. 16. Jimat membuat pemiliknya sakit. 17. Melangkah dan menyentuh jimat. 18. Menjaga jimat. 19. Jimat setelah pemiliknya meninggal. 20. Jimat musuh. 21. Toina. 22. Perpisahan dengan desa. 23. Doa kepada makhluk halus. 24. Kepergian desanya. 25. Peramal unggas. 26. Ramalan dengan telur. 27. Ramalan untuk kesejahteraan Anda sendiri. 28. Peramal anjing. 29. Biaya perjalanan. 30. Meminta hadiah panduan (paola). 31. Hadiah panduan. 32. Hari baik dan hari buruk. 33. Suara burung. 34. Pertanda binatang. 35. Mimpi yang berhubungan dengan perang. 36. Mimpi (lanjutan). 37. Tanda-tanda lain di jalur perang. 38. Penggangguan perjalanan. 39. Apa yang harus diperhatikan di jalan. 40. Istri sang pejuang. 41. Wanita itu menyamakan dirinya dengan sang pejuang. 42. Wanita tetap berhubungan dengan pria. 43. Pengaruh simpatik perempuan terhadap laki-laki. 44. Para wanita tinggal di kuil desa. 45. Tanda bagi yang tertinggal. 46. ​​​​Di hutan. 47. Memasak nasi serangan. 48. Memanggil roh hidup musuh. 49. Memikat musuh di Besoa, Napu dan Tawailia. 50. Memata-matai musuh. 51. Persiapan penyerangan. 52. Desa yang terancam punah. 53. Taktik militer. 54. Penyerahan desa. 55. Bertarung di lapangan terbuka. 56. Tidak berhasil dalam pertempuran. 57. Mutilasi mayat. 58. Kepala orang yang terbunuh. 59. Kulit kepala orang yang dibunuh. 60. Prajurit yang gugur. 61. Takut pada yang kalah. 62. Tawanan perang. 63. Pemberitahuan pengembalian. Cincin rotan. 64. Melompati api. 65. Pemberitahuan kembalinya para pejuang kepada suku lain. 66. Mobelo. 66a. Lagu perang (mondolu, monolu, moinolu). 67. Bagian pertama dari mobelo. Masuk ke desa. 68. Taburan nasi dan jahe. 69. Menabuh gendang di kuil. 70. Menuang air. 71. Moraa pale. 72. Bagian kedua Mobelo. 73. Mobelo di kelompok Pakawa. 74. Mokahawea atau mokasawea (mantaka). 75. Mokahawea (mantaka) di Bada'. 76. Mokahawea (mantaka) di Besoa. 77. Mokahawea (mantaka) di Napu. 78. Mokahawea (mantaka) di Rampi. 79. Mokahawea (mantaka) di antara suku-suku barat. 80. Pangkat dan kehormatan di antara suku-suku barat dan di Rampi. 81. Peringkat di Bada'. 82. Peringkat di Besoa. 83. Peringkat di Napu dan Tawailia. 84. Berdamai.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.249
Threshold uncertainty score0.356

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.7510.666

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.

Opus teacher head0.415
GPT teacher head0.495
Teacher spread0.080 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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