MULTI-DIMENSIONAL POVERTY AMONG SAMURDHI WELFARE RECIPIENTS IN BADULLA DISTRICT, SRI LANKA
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper is an application of multidimensional poverty data to the policy need to improve the effectiveness of the national social protection programme, Samurdhi, in Sri Lanka. This paper argues that any programme aiming to promote people out of poverty, needs to be based on a good understanding of the nature of poverty among the target group. To this end, data from a pilot survey in the Badulla District, Sri Lanka, is used to compare Samurdhi households with non Samurdhi households in relation to deprivation in multiple dimensions. The analysis finds that Samurdhi households are deprived in the dimensions of quality of employment, dignity and psychological and subjective wellbeing, which have practical implications for the design and delivery of Samurdhi.
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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 | 0.011 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.037 | 0.013 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.017 | 0.009 |
| Research integrity | 0.001 | 0.001 |
| 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 it