“Life and Debt”: Assessing the Impacts of Participatory Housing Reconstruction in Post-Conflict Sri Lanka
Bibliographic record
Abstract
The Owner Driven Housing Assistance (ODHA) scheme is a donor and government supported initiative to help construct housing for internally displaced persons (IDPs) returning to their original areas of residence after the end of the Sri Lankan Civil War in 2009. While ODHA is a commendable initiative for rebuilding the lives of those displaced by war, available evidence indicates an increase in household debt among the beneficiaries of such housing schemes and their vulnerability to livelihood insecurities after resettlement. Based on an analysis of the socio-economic status of ODHA beneficiaries in the northern Sri Lankan districts of Mullaitivu, Kilinochchi and Jaffna, this paper concludes that the financing modality of the housing programme has had a catalytic effect on indebtedness among beneficiaries. An inadequate understanding of the social, economic and cultural contexts that define the lives of beneficiaries on the part of donors and implementers appears to be contributing to unintended and negative repercussions of housing assistance. This paper illustrates how post-war participatory development projects such as the ODHA scheme can further exacerbate the vulnerability of war-affected populations, unless donors and policy makers have a holistic understanding of the varying contexts that define the experiences of those receiving development assistance.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".