Re‐encountering the familiar other: Contesting ‘<scp>re‐Sinicization</scp>’ in Thailand
Bibliographic record
Abstract
Annually, around 10 million Chinese tourists, constituting almost a quarter of Thailand's total foreign visitors (before COVID ‐19), have started to make a strong imprint on Thailand's tourist landscape. At the same time, a new wave of Chinese migrants to Thailand are seeking business and work opportunities. This paper focuses on these new encounters between local Thais and the incoming mainland Chinese in terms of how cultural boundaries are created, contested and renegotiated, specifically within the context of Thailand's long history of Chinese migration, which dates back several generations. The paper investigates the phenomenon of ‘ re‐Sinicization ’ in Thailand, and its contested nature within the broader Thai political and cultural milieu. It draws upon recent controversies regarding online battles between Thai and Chinese netizens to argue that the controversies are indicative of the unease from the increasing Chinese presence within Thai society and the increasing embroilment of Thailand within the political contestation of the wider Sinosphere .
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".