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Record W2267548849 · doi:10.5539/jsd.v9n1p164

An Analysis of the Development Impacts of Establishing Kalmunai Administrative District in Sri Lanka

2016· article· en· W2267548849 on OpenAlexvenueno aff
Mohammad Agus Yusoff, Athambawa Sarjoon, Mat Ali Hassan

Bibliographic record

VenueJournal of Sustainable Development · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsnot available
Fundersnot available
KeywordsDecentralizationEquity (law)Sri lankaEconomic growthSustainabilityPoliticsBusinessGeographySocioeconomicsPolitical scienceEnvironmental planningDevelopment economicsEconomics

Abstract

fetched live from OpenAlex

Decentralizing administrative powers to locally established administrative units has been the key goal of many governments in developing counties intended to boost socio-economic development at regional level. Sri Lanka has also introduced many decentralization initiatives with development motives. New administrative districts were formed in Sri Lanka with development as part of their motive, but, no new district has been formed in the last 30 years while demands have prevailed in many corners of the country. The demand calling for the establishment of the Kalmunai administrative district has been a prolonged and politically influencing demand for the last 15 years in Sri Lanka’s political-development discourse. This study attempts to examine the development impacts of establishing the Kalmunai administrative district that has been advocated by the people living in the coastal belt of the Amparai district (referred as ‘south eastern region’), a region which has been lacking in terms of development due to the severe impacts of thirty-year civil war as well as the 2004 Asian Tsunami devastation in Sri Lanka. The findings of the study reveal that the establishment of the proposed Kalmunai district will eventually contribute to multi-dimensional development in the region in the long run, however, a conducive institutional environment needs to be built in and around the district administrative machinery in order to ensure equity and justice in service delivery and resource allocation among different ethnic groups in the district which would be the pre-condition for the sustainability of any kind of development impact in the region.

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)0.003
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 score0.130
Threshold uncertainty score0.887

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.019
GPT teacher head0.315
Teacher spread0.296 · 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

Citations6
Published2016
Admission routes1
Has abstractyes

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