Policy-based analysis of the intensity, causes and effects of poverty: the case of Mawlamyine, Myanmar
Bibliographic record
Abstract
This article tells the story of poverty in Myanmar from a policy perspective. It employs an unprecedented household-level dataset on Mawlamyine Township to provide hitherto-lacking measurements of the extent of poverty and inequality, as well as the significant causes of that poverty. It then uses the expenditure and income behaviour of residents to interpret the ability of the population to meet their food and non-food basic needs. Since poverty, its proximate causes, the prices of food and other necessities are all amenable to policy interventions, the artilce then identifies the most effective policies for alleviating poverty in Myanmar. Résumé Cet article présente une perspective factuelle de la pauvreté au Myanmar. L'article tente de déterminer la capacité de la population à satisfaire ses besoins essentiels, alimentaires et immédiats. Les analyses relatives à l'état de pauvretés, aux inégalités et à leurs causes respectives, sont conduites à l'aide de données inédites sur les ménages de la région de Mawlamyine. Sachant que les politiques publiques sont susceptibles d'influer sur la pauvreté, ce travail identifie les mesures les plus susceptibles de combattre cette dernière au Myanmar.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".