Bibliographic record
Abstract
Desa-desa. 2. Tipe rumah. 3. Sebaran dan nama tipe perumahan. 4. Meramalkan untuk menentukan apakah tempat yang ingin dibangun itu baik. 5. Bermimpi untuk memutuskan apakah suatu tempat bagus untuk pembangun rumah. 6. Penebangan kayu untuk konstruksi. 7. Para tukang kayu.8. Mendirikan rumah. 9. Konstruksi dan perabotan rumah. 10. Menutupi atap. 11. Pintu masuk dan tangga. 12. Perapian (tempat memasak). 13. Perapian. 14. Sebuah rumah terbakar atau roboh. 15. Pindah ke rumah baru. 16. Pesta Dedikasi. 17. Persembahan penyucian. 18. Peresmian rumah baru di Bada'. 19. Kuil desa. Substruktur dan ruang dalam. 20. Tiang tengah kuil. 21. Arah ke titik mata angin. 22. Jenis Kuil. 23. Dua jenis kuil di kawasan Lore dan Rampi'. 24. Dua jenis kuil pada kelompok Koro dan Kulawi. 25. Dua jenis kuil kelompok Sigi dan Kaili. 26. Kesimpulan mengenai kedua jenis kuil tersebut. 27. Pengorbanan manusia pada saat pendirian dan peresmian kuil. 28. Seekor kerbau disembelih di kuil. 29. Peresmian Kuil.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.355 | 0.202 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".