Pathways to Politics for Women Parliamentarians in Myanmar
Bibliographic record
Abstract
The number of women parliamentarians in Myanmar increased during the last decade of democratization before the February 2021 coup d’état yet remained extremely low at about 15% of parliament in the 2020 election. This paper uses the concept of political pathway to explore barriers and opportunities that women parliamentarians experienced along their life course. It does so through in-depth interviews conducted in early 2020 with 20 women and 10 men parliamentarians elected in the 2015 general election. Results suggest that women tend to take distinct pathways from men and face specific opportunities and barriers through supply-driven factors such as parental socialization, experience of national crises, available peer networks, acquired professional experiences, and available family support, and through a main demand-driven factor in party recruitment and politics. This informs recommendations in the conclusion in terms of increasing resources and support available to women and addressing discrimination by political parties.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".