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Record W2516171443 · doi:10.5334/sta.434

“Life and Debt”: Assessing the Impacts of Participatory Housing Reconstruction in Post-Conflict Sri Lanka

2016· article· en· W2516171443 on OpenAlexvenueno aff
Vagisha Gunasekara, Mira Philips, Kulsabanathan Romeshun, Mohammed Munas

Bibliographic record

VenueStability International Journal of Security and Development · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsVulnerability (computing)LivelihoodEconomic growthInternally displaced personCitizen journalismPolitical scienceDebtDisplaced personGovernment (linguistics)Spanish Civil WarResidenceDevelopment economicsSocioeconomicsBusinessGeographySociologyEconomicsFinanceRefugee

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.206
Threshold uncertainty score0.168

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.065
GPT teacher head0.338
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2016
Admission routes1
Has abstractyes

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