The Development of Bamboo Basketry According to the Base of Creative Economy of the Thai Yo Ethnic Group in Northeast Thailand
Bibliographic record
Abstract
The Thai Yo ethnic group have their great skill to make bamboo basketworks for household use and domestic distribution but for international distribution they should develop their products. This research suggests the ways to develop the products. A qualitative research was applied to the research and research data was gathered by means of a document analysis and a field study. Research areas were selected by a purposive sampling in the area of 3 provinces located in the northeast Thailand consisting of Kalasin, Sakon Nakhon, and Nakhon Phanom. Findings indicated that a majority of Thai Yo village located in the locations where were near water resources and bamboo basketworks but the difficulties were they just mastered making them in the old way and the products they made could not respond various requirements of customers, and those products needed an improvement. The six aspects used for developing the products were these: 1) balance, 2) proportion, 3) harmony, 4) contrast, 5) rhythm and 6) emphasis. These aspects gathered from opinions of persons concerned within a concept of creative economy.The six models of bamboo basketworks were designed and made as the pilot models in order to guide the organizations concerned for developing their bamboo basketwork products to quality products.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".