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Record W4381057650 · doi:10.52783/rlj.v11i3.1823

FINANCIAL TECHNOLOGY IN EGYPT BETWEEN OPPORTUNITIES AND CHALLENGES

2023· article· en· W4381057650 on OpenAlexafffund
Fady Tawakol

Bibliographic record

VenueRussian Law Journal · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsCape Breton University
FundersZayed UniversityCape Breton University
KeywordsFinancial inclusionPovertyOrder (exchange)BusinessPromotion (chess)State (computer science)Financial stabilityFinanceFinancial systemFinancial servicesFinancial intermediaryEconomicsEconomic growthPolitical science

Abstract

fetched live from OpenAlex

In Egypt, the Central Bank of Egypt is working to launch a new phase of financial technology, as one of the pillars of promotion of economic reform, and an effective and supportive mechanism for integrating the informal economy for individuals and institutions within the structure of the official economy of the state, and a way to Reality to raise and improve the standard of living and reduce poverty rates by containing certain segments of society from the marginalized, low-income and owners of small, medium and micro enterprises. The methodologies used explain the current state of financial inclusion and financial technology in Egypt, as well as the development of a law regulating and developing the use of financial technologies in non-banking financial activities in order to develop a mechanism for integrating the informal economy. The findings showed that enhancing the efficiency of the financial system and the effectiveness of monetary policy, are reflected in terms of financial stability which is considered one of the pillars of growth and transformation of the digital economy.

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 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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.008
Scholarly communication0.0090.006
Open science0.0000.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.057
GPT teacher head0.239
Teacher spread0.182 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations4
Published2023
Admission routes2
Has abstractyes

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