Bibliographic record
Abstract
During the last three decades, the pattern of mobilization in Thailand shows an unclear relationship to democratization. In the first instance, "democratization" itself is somewhat difficult to pinpoint, since there were periods of more open politics followed by military coups. A long decade of semi-democratic rule gradually eased Thailand toward a full electoral democracy and, while many strong characteristics of democracy prevailed for several years, nevertheless it faltered as the armed forces repeatedly intervened to prevent deep reform.1 Second, Malay-Muslim mobilization has been weak, and even somewhat difficult to identify, as unknown perpetrators were the most frequent instigators of violent attacks, against the backdrop of an apparently quiescent Malay-Muslim majority. The worse violence, after 2002, coincided with a relatively stable period of democratic governance when the Constitution of 1997 had made possible the election for the first time of a majority government led by Thaksin Shinawatra's Thai Rak Thai in 2001.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".