Chinese Residents of Burma as Refugees, Evacuees, and Returnees: The shared racial logic of territorialization in the regulation of wartime migration
Bibliographic record
Abstract
Abstract This article analyses how, at the time of the Japanese military expansion across Asia in the 1930s and 1940s, the category of ‘Burma Chinese’ and notions of ‘Chineseness’ acquired meaning through the movement across Chinese and Indian borders of residents of Burma identified as Chinese. Focusing on the terminology utilized by various reporting organizations to refer to evacuees, refugees or returnees, this article asks what we can learn from bureaucratic exchanges and practices of documentation about the wartime migration of Burma Chinese. I argue that a shared racial logic of territorialization operates across divergent sets of correspondence concerned with the repatriation of Burma Chinese to Burma. Multiple acts of iteration and practical implementation of categories naturalized this racial logic with respect to Burma Chinese in the latter half of the 1940s. Understanding how the work of repatriating Burma Chinese rested upon a shared racial logic is important because the regulation of Asian wartime migration was foundational to the emerging international refugee regime and post-Second World War world order.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.017 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".