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Record W4408610228 · doi:10.25071/2563-2418.155

BAB XV. PERTANIAN Bagian pertama

2025· article· id· W4408610228 on OpenAlexvenueno aff
Albert Kruyt

Bibliographic record

VenueLOBO Annals of Sulawesi Research · 2025
Typearticle
Languageid
FieldSocial Sciences
TopicLegal Studies and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental science

Abstract

fetched live from OpenAlex

1. Padi sebagai makanan. 2. Padi berasal dari manusia. 3. Padi berasal dari bulan. 4. Padi berasal dari surga. 5. Hubungan antara Tuhan Surgawi dan manusia dipertahankan oleh hewan. 6. Padi dicuri dari surga. 7. Asal usul padi dicari di bumi. 8. Kisah-kisah surga tentang padi. 9. Ladang dan sawah. 10. Pembangunan sawah diperkenalkan oleh para pendatang. 11. Padi ladang dan padi sawah memiliki asal usul yang berbeda. 12. Roh Padi. 13. Wujud penampakan roh padi. 14. Masyarakat tani dan pemimpinnya. 15. Pekerjaan kepala ladang. 16. Kewajiban dan upahnya. 17. Dokter padi. 18. Pekerjaan persiapan. 19. Mendengarkan burung hantu di Bada'. 20. Meramal keberuntungan dengan ayam betina dan telur. 21. Pengenalan pada pekerjaan pertanian. 22. Tanda-tanda yang harus diperhatikan dalam karya pertama ini. 23. Burung dalam kaitannya dengan pertanian. 24. Ular dalam kaitannya dengan pertanian. 25. Mimpi yang berhubungan dengan pertanian. 26. Penebangan pohon. 27. Memindahkan roh pohon. 28. Meminta kekeringan. 29. Membersihkan kapak dan parang. 30. Membakar kayu yang telah ditebang. 31. Pembersihan tanah. 32. Hari-hari Bulan. 33. Menjauhkan dosa. 34. Padi untuk disemai. 35. Menjelang hari penanaman. 36. Pengenalan penanaman. 37. Orang yang membagikan benih padi. 38. Menanam padi. 39. Setelah penanaman. 40. Mempersiapkan sawah. 41. Upacara pentahbisan kerbau. Penangkapan hewan. 42. Apa yang diperlukan untuk upacara tersebut. 43. Malam menjelang upacara. 44. Persiapan lebih lanjut. 45. Bagian orang mati. 46. ​​​​Prosesi di sekitar kerbau. 47. Mengusir kerbau. 48. Setelah pesta. 49. Pesta kedua untuk kerbau. 50. Upacara di saluran air. 51. Kerbau membalik tanah. 52.Menabur padi. 53. Pemindahan bibit. 54. Pembuatan pagar. 55. Penyiangan gulma. 56. Tahapan-tahapan padi. 57. Tanda dan ketentuan yang harus diperhatikan selama padi tumbuh. 58. Membayar denda karena melanggar adat bidang. 59. Cara untuk mempercepat pertumbuhan padi. 60. Menyiram padi dengan air bersemangat. 61. Pengorbanan anjing untuk meningkatkan pertumbuhan padi. 62. Ketika padi terancam gagal panen. 63.Tindakan pencegahan untuk mencegah kunjungan hewan-hewan berbahaya.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.222
Threshold uncertainty score0.743

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.001
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.2220.093

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 head0.226
GPT teacher head0.496
Teacher spread0.270 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2025
Admission routes1
Has abstractyes

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