The Karen diaspora : transnational sense of belonging and practices after the 2021 Myanmar Coup
Bibliographic record
Abstract
This research examines the Karen diaspora’s transnational sense of belonging, ideological transition and tactics embodied in transnational activities after the 2021 Myanmar military coup. Looking at young Karen people in 5 host countries including the United States, Australia, Canada, Norway and Thailand, it is evident that those people in the diaspora still perceive the notion of homeland and maintain an emotional sense of belonging to their homeland after a long period of resettlement in host countries. In the context of the 2021 coup, those young people have engaged actively in transnational activities with various tactics used both on-site and online. Quantitative methods were applied including semi-structured interviews and online participant observations to understand how those young refugees feel connected to their homeland, as well as how and why those young refugees have engaged in transnational practices. After examining the narratives and ethnographic work, I argue that the transnational sense of belonging of young Karen people were shaped by narratives, memories, and Karen cultural practices in refugee camps; and those camps also become their memorial places. In addition, after the Myanmar military coup, those young Karen people expressed an ideological transition from ethno-nationalism to democracy and cosmopolitan orientation when engaging in transnational activities.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".