One Village One Product – rural development strategy in Asia: the case of OTOP in Thailand
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This paper investigates the development of the One Tambon, One Product (OTOP) programme in Thailand, based on the earlier experience of the One Village, One Product (OVOP) movement in Japan. Conceived in Japan as a policy to reverse rural depopulation, it has become more focused on poverty alleviation when implemented in Thailand. It will be shown how, despite some criticisms, the OTOP programme has been providing communities with the chance to market local output and creating employment opportunities. The paper includes a small sample survey of Chiang Mai province's OTOP and an enterprise case study. Résumé Cet article analyse le développement du concept « Un tambon, un produit en Thaïlande », basé sur le concept « Un village, un produit », crée au Japon comme une politique visée à renverser la dépopulation rurale. En Thaïlande, la politique a été conçue plutôt comme un moyen de réduire la pauvreté. Les auteurs démontrent comment le programme en Thaïlande, malgré certaines critiques, a réussi à créer les offres d'emploi et à stimuler les économies des communautés locales dans le pays. Cet article conclut avec une enquête sur la politique dans la province de Chiang Mai et un cas d'étude sur une entreprise locale.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it