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Record W2315876186 · doi:10.5539/jsd.v9n2p206

Addressing Poverty in Sudan and Malaysia: A Story of Success and Constraints

2016· article· en· W2315876186 on OpenAlexvenueno aff
Hillo Abdelatti, Yasin Elhadary, Narimah Samat

Bibliographic record

VenueJournal of Sustainable Development · 2016
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsnot available
Fundersnot available
KeywordsPovertyDevelopment economicsIndependence (probability theory)Ethnic groupPopulationExtreme povertyDeveloping countryEconomic growthInequalityPolitical scienceEconomicsSociology

Abstract

fetched live from OpenAlex

Sudan and Malaysia have shown some socio-economic similarities especially when it comes to the issue of addressing poverty. After independence, almost half of the entire population of both countries were living under poverty line. The successive national governments in both countries have embarked on eliminating the extreme poverty. The aim of this paper is to highlight the policies and programmes adopted and implemented by policymakers in both countries in addressing poverty. The overall objective is to uncover the secret of the success and constraints faced both countries in addressing poverty. To achieve such objective, the paper based mainly on a desk review of recent documents and review of some recent researches' result. The paper has come out with that the similarities between both countries manifested itself in that both are classified as Muslim countries, have an agricultural background, inherited the same legacy as been colonized by British, their communities consist of various ethnic groups and minorities with sharp spatial and ethnic inequalities in income and social class. Despite these, Malaysia has succeeded in reducing poverty from over fifty 52.4% in 1970 to around one per cent 1.2 % in 2015, while less progress has been made in side of Sudan. Moreover, unlike Sudan, Malaysia has managed to achieve the MDGs goals in halving a head before the time determined, while Sudan has long way and it seems impossible to fulfil such objective even after 2015. Our findings have shown that, formulated home-grown policies, rejecting imposed policies by international institutions (World Bank), availability and accessibility of up to date poverty data, ability to implement policies and above all the political will are the main drivers behind the secret of success in the side of Malaysia and vice versa for Sudan. Sudan like other countries has to follow the Malaysia model if the decision makers are serious in eliminating poverty. This paper may contribute to the on-going discussion on poverty and open rooms for more comparative study between nations. Comparative study will help the planners in formulating rational policy, benefitting from exchanging ideas and learning from each.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.082
Threshold uncertainty score0.287

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.018
GPT teacher head0.263
Teacher spread0.246 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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