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 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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.027 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".