Sufficiency Economy as a Response to The Problem of Poverty in Thailand
Bibliographic record
Abstract
The Thai King’s philosophy of ‘Sufficiency Economy’ as a means to alleviate poverty has recently been recognized by the United Nations in the presentation of the UNDP Human Development Lifetime Achievement Award. His Majesty King Bhumibol Adulyadej has, since 1974, stressed the importance of economic self-reliance which is based on the Buddhist belief in the middle path to conduct ways of life to overcome poverty. Thailand learned many lessons from a financial crisis that followed the devaluation of the Thai baht in July 1997. The King’s philosophy of self-reliance has gained new credence, reflected in government development policies aimed at improving the country’s economic well being. Education and technology are being promoted as vital tools in line with an understanding of ‘Sufficiency Economy’ which implies moderation of aspirations and a balance between success and fulfilment. Education is the key to developing the full potential of the individual and is regarded by policy makers as instrumental in combating poverty. Human development as a concept and as a policy objective must encompass the economic, social and cultural dimensions of human life. This paper examines the importance of the King’s philosophy of ‘Sufficiency Economy’ to education reform as a poverty reduction strategy in Thailand in the context of rapid economic and technological changes.
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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 | 0.005 | 0.006 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".