Understanding Karen women's experiences in refugee camps on the Thai-Myanmar border and in Canada
Bibliographic record
Abstract
In the 1980s, the Karen people began arriving on the Thai-Myanmar border as they fled the ongoing ethnopolitical conflict in Myanmar. Since then, the refugee situation in the border region has become one of the most protracted refugee situations in the world. As there was no clear indication of if and/or when the Karen people could return to the Kayin State, their home state in Myanmar, they began to resettle in third countries. In the mid-2000s, Canada began resettling Karen refugees from the Thai-Myanmar border across the country. This qualitative study explores the experiences of Karen refugee women living on the Thai-Myanmar border and in Canada. The study analyzes how gender impacted the lived experiences of three Karen refugees and their families. This research is concerned with shedding light on the stories, lived experiences, and resiliency of Karen refugee women on the Thai- Myanmar border and in resettling in Canada. Karen women are not simply passive victims of violence and conflict but are actors for change and peace.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.041 | 0.019 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 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".