The Integration of the Pottery Handicraft Together with the Basketwork Handicraft Promoting Economic Community Strength
Bibliographic record
Abstract
A study of the integration of the pottery handicraft together with the basketwork promoting economic community strength aims to 1) to study the basketwork identity to apply with the pottery handicraft 2) to examine the experimental design and to develop the pottery handicraft product combined with the basketwork in order to beautiful identical according to market qualifications and 3) to evaluate the market testing of the handicraft product developed conduce to the guidelines for producers apply to use. The samples were 400 people who interested in handicraft wherewith purposive sampling at the handicraft shop by used the accidental sampling, inquired for collect the data before as well as after design, evaluated by 3 groups of community product producer as 3 stars level which experience 10 years at least and 3 product design experts in order to evaluate the optimal pattern of product modified, therefrom, created the prototype as well as evaluated the opinion comments of consumer towards product designs. The results revealed that the most wanted of consumer that were the lamp product, basket product and decorated item products, the container rim of the 3rd pattern by weaving method was appropriate for forming pattern which were combined method with easy, strong and stable pattern, easy to fix when being ruined, the product pattern have been tested marketing by consumer found the satisfaction overall was the highest level, furthermore they satisfied in term of beauty than in term of usability.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".