Education; *Teacher Education IDENTIFIERS *Thailand
Bibliographic record
Abstract
The Comprehensive School Project, the benchmark in the steady trend toward diversification of the Thailand secondary school curriculum, is the focus of this paper. In the first part three stages of educational development are examined and discussed, followed by education in the present period, the 1960 national scheme of education, and the beginnings of diversifications of secondary education. Emphasis is upon examination and tentative evaluation of the major components of the Comprehensive School Project: a five year training program to educate 165 Thailand teachers in Canada in the physical and administrative organization of a comprehensive high school; the sending of advisers to Thailand; consideration of the Thailand project office as an administrative unit; and the outlook for diversification of the seconds rp school curricula in Thailand. Evaluations indicate that the training program successfully reached its goals, the impact of advisers was excellent, the school project office was highly functional in implementing basic changes, and that as long as diversified secondary education helps the Thai culture survive, the Thai people will incorporate it into their educational system. (SJM) (If deliberating as to which European powers he sh&ld invite to become al 1 ies of Siam. Without using the label, he was exemplifying the inter-
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.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.401 | 0.117 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".