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Record W3041312325 · doi:10.32479/ijefi.9833

CAN FINANCIAL ASSISTANCE MEDIATE THE TRAINING AND HUMAN CAPITAL RELATIONSHIP FOR PAKISTANI WOMEN MICRO ENTREPRENEURS?

2020· article· en· W3041312325 on OpenAlex
Nain Tara, Noman Arshed, Osama Aziz, Mahwish Yamin

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Economics and Financial Issues · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMicrofinance and Financial Inclusion
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMediationTraining (meteorology)Human capitalFinancial capitalBusinessCapital (architecture)FinanceEconomic growthEconomicsPolitical scienceGeography

Abstract

fetched live from OpenAlex

Women participation in the economy can help accumulate capital formation and ideation which helps them in becoming a tool for socio-economic uplift for poor people working in the informal sector of the economy. The current research has examined the impact of financial assistance programs provided to micro and small women entrepreneurs, on the economic capital formation. Assistance programs include training and financial assistance. This research also aimed to investigate the mediating role of financial assistance between training assistance and economic capital. The methodology included empirical study, collection of data from 350 women micro-entrepreneurs from Southern Punjab in Pakistan, and analysis is conducted with the help of SPSS. Findings revealed that training assistance program has a significant impact on capital formation. While the mediation test confirmed the mediation of financial assistance between the training and economic capital.Keywords: Economic Capital, Financial Assistance, Informal Economy, Vocational Training, Women Micro entrepreneurs.JEL Classifications: G21, I22, I23, L26DOI: https://doi.org/10.32479/ijefi.9833

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.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.356
Threshold uncertainty score0.749

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 head0.044
GPT teacher head0.259
Teacher spread0.215 · 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