Sesaji Dan Tempat Pementasan Tari Legong Sambeh Bintang
Bibliographic record
Abstract
Sesaji merupakan bentuk/sarana persembahan yang dihaturkan masyarakat setempat kepada Tuhan Yang Maha Esa. Masyarakat Desa Bangle tampak selalu menghaturkan sesaji terlebih dahulu jika akan mementaskan tari Legong Sambeh Bintang ini di pura. Sesaji yang dihaturkan tersebut antara lain : pejati dan perani. \n \nDi bawah ini adalah banten pejati yang dihaturkan masyarakat ketika mementaskan tari Legong Sambeh Bintang. \nSetelah sesaji ini selesai dihaturkan kehadapan Ida Sang Hyang Widhi Wasa, maka para penari tari Legong Sambeh Bintang dipersilakan untuk memakan buah dan jajanan yang ada disesaji tersebut bersama-sama. Buah-buahan yang dimakan tersebut oleh masyarakat setempat dianggap sebagai berkah agar para penari tersebut selalu dilindungi oleh Tuhan.
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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.017 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.386 | 0.155 |
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".