Towards a Burma-inclusive South Asian Studies: A Roundtable
Bibliographic record
Abstract
Abstract Burma, or Myanmar as it was renamed in 1989, is largely ignored within the discipline of South Asian Studies, despite its cultural, religious, economic, and strategic significance for the wider worlds of Asia. Burma is often studied either in isolation or alongside Southeast Asian countries such as Thailand, Vietnam, and Malaysia, despite its equally important historical and cultural connections to communities, states, and networks across what is now India, Bangladesh, Sri Lanka, or Nepal. In this Roundtable, four scholars of South Asia discuss Burma's erasure within the discipline, the origins and limitations of traditional area studies frameworks, and the possibilities afforded by Burma's inclusion within a more expansive conception of South Asia.
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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 | 0.059 | 0.030 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.019 | 0.013 |
| Scholarly communication | 0.031 | 0.031 |
| Open science | 0.007 | 0.033 |
| Research integrity | 0.021 | 0.024 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".