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Record W2887141521 · doi:10.5267/j.msl.2020.10.0r7

Retraction Note: Microfinance institute’s non-financial services and women-empowerment: The role of vulnerability

2020· article· en· W2887141521 on OpenAlexvenueno aff
Waseem Ul-Hameed, Hisham Bin Mohammad, Hanita Kadir Shahar

Bibliographic record

VenueManagement Science Letters · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMicrofinance and Financial Inclusion
Canadian institutionsnot available
Fundersnot available
KeywordsMicrofinanceEmpowermentVulnerability (computing)Social capitalEconomic growthCluster samplingBusinessCapital (architecture)SocioeconomicsPolitical scienceGeographySociologyEconomicsPopulationDemography

Abstract

fetched live from OpenAlex

Women-Empowerment is one of the most crucial challenge in Pakistan. Pakistani women are con-tributing only 25-30% in nation’s economy which is quite low as compared with other developed as well as developing countries such as United Kingdom (UK), United States of America (USA), Ma-laysia, China, Indonesia and India. To address this problem, the primary objective of this study was to examine the role of microfinance institutions in women-empowerment. Moreover, moderating role of vulnerability was also examined. Quantitative research approach and cross-sectional research design were adopted. Data were collected from the female clients of microfinance institutes in Southern Punjab, Pakistan. Survey was conducted to collect the data and questionnaires were dis-tributed by using area cluster sampling. SmartPLS (SEM) was used to analyze the data. It was found that non-financial services of microfinance institutes such as training/skill development pro-grams and social capital development had positive contributions towards women-empowerment. Moreover, vulnerability moderated the relationship between social capital and women empowerment. Thus, this study contributed in the body of literature by investigating vulnerability as moderating variable. Hence, this study is beneficial for microfinance institutes to enhance women-empowerment through training/skill development and social capital development.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: no
Not applicablehigh
gptResearch integrity
Domain: not available · Genre: Editorial
About the Canadian research system: no · About a Canadian topic: no
Not applicablehigh
models splitAgreement compares identical category sets and study designs across arms.

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.064
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.986
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.064
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0030.003
Open science0.0030.002
Research integrity0.0140.031
Insufficient payload (model declined to judge)0.0140.009

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 head0.009
GPT teacher head0.205
Teacher spread0.196 · 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

Labeled directly by 2 models reading the full record.

Research integrity

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designNot applicable
Domainnot available
GenreOther · Editorial

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

Citations24
Published2020
Admission routes1
Has abstractyes

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