PENINGKATAN KAPASITAS DAN KUALITAS PENGERINGAN,PEWARNAAN DAN PENGEMBANGAN DESAIN PRODUKKERAJINAN TOPENG DAN BATIK KAYU UNTUKMENINGKATKAN PASAR EKSPOR DAN PASAR DOMESTIK
Bibliographic record
Abstract
Crafting Industry not easy to fall by economic crisis. So that have tobe developed to become strength of people economics. In Bobung Putat,Pathuk, Gunungkidul almost all its resident work as worker of wood batikand mask. Crafting of wood batik and mask have become home industry andas especial living to society. Mask product and wood batik of Bobung havecan penetrate market export and domestic market. For the market of exportingBrasilia, Singapore, India, Canada, Belgia, Malaysia, Australian,Japan, New Selandia, and America is export market from mask product andwood batik of Bobung. Solo, Bali, Surabaya, Medan, Bandung, Bogor,Batam and Jakarta is domestic market from mask product and wood batik ofBobung. Total Sale per annum reach two billion rupiah moreConstraint which often met by worker cannot fulfill order of causedby order limitation of dryer machine. In this time worker use oven havingsmall capacities and still traditional without regulator of spreading of goodheat and without regulator of time and temperature. Quality of product isnot maximal, still have content irrigate and easy to hit mushroom. ProductDesain of monoton and less inovatif, still use colourant of sintetis withunfavourable coloration technique.To increase product quality and capacities with dryer machineengineering with pipe spreading of good heat, with timer and regulator oftemperature. To increase product variation with training of desain and toincrease the quality of colour with training of coloration technique andusage of natural colour. New Oven can improve capacities produce twicethe either from previously
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.103 | 0.041 |
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".