The Development of OTOP Product Packaging Design of Maha Sawat Farmer Housewife Group, Nakhon Pathom Province, Thailand
Bibliographic record
Abstract
The aims of the study were: (1) to investigate the needs toward product packaging of the farmer housewife group in Maha Sawat, Nakhon Pathom province, (2) to develop the product packaging design of the farmer housewife group in Maha Sawat, Nakhon Pathom province, and (3) to test the product-packaging market from consumers of the farmer housewife group in Maha Sawat, Nakhon Pathom province. The sample included (1) ten participants for analyzing needs toward the product packaging by employing the focus group discussion and (2) two-hundred consumers for testing product-packaging market by using a questionaire. The findings elucidated that (1) the farmer housewife group and consumers needed the product packaging to have a capacity to extend shelf life of the snack, to keep and reopen next time, as well as to protect the product while packing. Besides, the packaging should have the beautiful and attractive logo which can represent the group’s identity and label which can correctly inform the product description as well as should be compact and portable. (2) The packaging of Thai rice crackers (Kao Tung) made by the farmer housewife group in Maha Sawat had the high level of average assessed by the experts. (3) The market-test result on consumers’ satisfaction towards the farmer housewife group’s product packaging demonstrated the average with 4.38 and the standard deviation with 0.55. The market-test result on consumers’ satisfaction towards the product packaging based on gender and age showed that all aspects were insignificantly different.
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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 | 0.001 |
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".