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Green microfinance promoting green enterprise development

2011· article· en· W2175872847 on OpenAlexaffabout
Kazi Abdur Rouf

Bibliographic record

VenueE3 Journal of Business Management and Economics · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMicrofinance and Financial Inclusion
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMicrofinanceSustainable developmentBusinessSample (material)SisterSustainable businessIndustrial organizationEconomic growthMarketingEconomicsSustainabilityEcologyPolitical science

Abstract

fetched live from OpenAlex

Purpose - The purpose of this paper is to examine microcredit and renewable energy programs for green development. Design/methodology/approach - This paper envisions a comparison and contrasting of Grameen Bank and credit systems (Bangladesh) with Alterna Savings credit programs (Canada) and its impact on Toronto's local living economics and environmental development. Findings - The findings are positive to environmental sustainable development. Originality/value - Green micro financing and green micro business development have been underserved, less attention to the subject has been given by various public, private and non-governmental organizations (financial and non-financial) agencies through policies, strategies, and programs. This research examines the possibility of introducing market-based green business development in Canada that would model that of Grameen Bank and its sister organizations.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.571
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.034
GPT teacher head0.183
Teacher spread0.149 · 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

Citations0
Published2011
Admission routes2
Has abstractyes

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