FENOMENA KESURUPAN PADA PENARI LENGGER \nDI KABUPATEN WONOSOBO
Bibliographic record
Abstract
Tujuan dari penelitian ini adalah untuk memahami fenomena \nkesurupan yang dialami oleh Penari Lengger di Wonosobo, Jawa \nTengah. Penelitian ini mengambil subyek Penari Lengger yang masih \naktif dan pernah mengalami kesurupan. Penelitian ini menggunakan \nmetode kualitatif dengan pendekatan fenomenologi. Data diambil \ndengan cara wawancara dan observasi kepada subyek. Subyek I \nberumur 45 tahun dan memiliki profesi sebagai penjual mie ongklok, \nsubyek II berumur 21 tahun, belum memiliki profesi tetap namun \nmengajar Tari Lengger dan subyek III berumur 29 tahun serta \nmemiliki profesi sebagai pengusaha kayu. Hasil dari penelitian ini \nadalah Lengger merupakan cara leluhur pada jaman dahulu untuk \nmengingatkan agar berbuat baik dengan nilai-nilai agama yang telah \ndimasukkan ke dalamnya. Kesurupan yang juga merupakan bagian \ndari Lengger memiliki makna untuk mengingatkan agar manusia \ntetap sadar. Secara psikologis kesurupan merupakan ketidaksadaran \nkolektif yang bangkit dan keluar ke alam sadar.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.060 | 0.014 |
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".