Professionals and Soldiers: Measuring Professionalism in the Thai Military
Bibliographic record
Abstract
Thailand's military has recently reclaimed its role as the central pillar of Thai politics. This raises an enduring question in civil-military relations: why do people with guns choose to obey those without guns? One of the most prominent theories in both academic and policy circles is Samuel Huntington's argument that professional militaries do not become involved in politics. We engage this premise in the Thai context. Utilizing data from a new and unique survey of 569 Thai military officers as well as results from focus groups and interviews with military officers, we evaluate the attitudes of Thai servicemen and develop a test of Huntington's hypothesis. We demonstrate that increasing levels of professionalism are generally poor predictors as to whether or not a Thai military officer prefers an apolitical military. Indeed, our research suggests that higher levels of professionalism as described by Huntington may run counter to civilian control of the military. These findings provide a number of contributions. First, the survey allows us to operationalize and measure professionalism at the individual level. Second, using these measures we are able to empirically test Huntington's hypothesis that more professional soldiers should prefer to remain apolitical. Finally, we provide an uncommon glimpse at the opinions of Thai military officers regarding military interventions, adding to the relatively sparse body of literature on factors internal to the Thai military which push officers toward politics.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 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".