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Record W3039717659 · doi:10.5430/ijfr.v11n4p111

Role of Islamic Micro Finance in Alleviating Poverty in Bangladesh: A Study on RDS of IBBL

2020· article· en· W3039717659 on OpenAlexvenueno aff
Md. Masud Parvej, Md. Asad Iqbal Chowdhury, Md. Kazi Golam Azam, Md. Musharof Hossain, Abdullah Mohammad Ahshanul Mamun

Bibliographic record

VenueInternational Journal of Financial Research · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMicrofinance and Financial Inclusion
Canadian institutionsnot available
Fundersnot available
KeywordsRespondentPovertyDescriptive statisticsIslamSocioeconomicsSample (material)Ordinary least squaresRegression analysisEconomicsEconomic growthStatisticsGeographyEconometricsMathematicsPolitical science

Abstract

fetched live from OpenAlex

The goal of this study is to determine the Role of Islamic Micro Finance in Alleviating Poverty, a study on RDS (Rural Development Scheme) of the Islamic Bank Bangladesh Limited. The study employed interview method, descriptive statistics, T-test, Chi-squared test, and multiple regression analysis to investigate a total of 328 samples (RDS borrowers). The sample has been purposefully selected for the study from two districts of Rajshahi division of Bangladesh. The results of our study indicate that in any category having an income level of more than 5001 to 10000, after access to the RDS scheme of IBBL, overall, 72% of respondent’s income increased. In the case of impact analysis of the program on poverty alleviation, the results of the statistical analysis (regression model) revealed that there is a significant impact of the Rural Development Scheme (RDS) on poverty alleviation (P-value-0.000).

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)0.002
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 score0.153
Threshold uncertainty score0.618

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.074
GPT teacher head0.344
Teacher spread0.270 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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