Kajian impak Pesta Kaul Mukah 2015 / Dr. Tang Howe Eng & Haji Khalik Haji Ibrahim
Bibliographic record
Abstract
Pesta Kaul Mukah 2015 telah diadakan di Mukah pada 18 April 2015 sehingga 26 April 2015 bertempat di Tapak Pesta Kaul, Kuala Lama, Mukah. Tema Kaul pada tahun ini ialah ‘Berbudaya Terus Maju’. Pesta Kaul Mukah 2015 turut disambut dengan meriah di sekitar Bandar Mukah. Pesta Kaul merupakan satu pesta keramaian masyarakat Melanau yang menghimpunkan pelbagai acara dan adat resam yang unik. Pesta Kaul diadakan sekali setiap tahun, iaitu pada minggu ketiga April. Pesta Kaul diadakan oleh kaum Melanau di kawasan Mukah, sebuah kawasan yang terletak di persisiran pantai di Sarawak. Pada masa lalu, Kaul adalah sejenis pesta keagamaan yang diraikan oleh masyarakat Melanau Pagan. Ia adalah upacara pemujaan untuk mereka memohon restu daripada penunggu di laut, darat dan hutan agar mendapat ketenteraman serta keselamatan ketika melakukan aktiviti seharian mereka mencari rezeki di tempat-tempat tersebut. Pesta ini biasanya diadakan mengikut kalendar kaum Melanau Pagan yang menandakan berakhirnya musim tengkujuh yang telah mendatangkan kesan dalam kehidupan mereka sebagai petani dan nelayan. Kini, Pesta Kaul menjadi salah satu pesta yang bukan sahaja dapat menghimpunkan masyarakat Melanau secara khususnya, malah telah menghimpunkan pelbagai lapisan masyarakat yang ingin turut berkongsi kemeriahan Pesta Kaul.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.127 | 0.050 |
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".