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Record W3036916692 · doi:10.5281/zenodo.3894461

Computerization of Banking Operation in Bangladesh

2020· article· en· W3036916692 on OpenAlex

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

VenueEconstor (Econstor) · 2020
Typearticle
Languageen
FieldComputer Science
TopicMobile Agent-Based Network Management
Canadian institutionsYork University
Fundersnot available
KeywordsIngenuityContext (archaeology)Work (physics)Scale (ratio)SoftwareEngineering managementEngineeringBusinessComputer scienceRisk analysis (engineering)Economics

Abstract

fetched live from OpenAlex

This paper is about the computerization of the banking operation of two of the largest banks in Bangladesh. The discussion deals with the issues faced in rolling out Core Banking System (CBS) in Sonali Bank and Rupali Bank. The system we studied focuses on centralizing computing operations by consolidating IT infrastructure; this system is meant to replace the existing distributed computing components. In this paper, we will highlight both the technical and human issues we have faced. The paper highlights the context of the work, the scale of the problem, issues and challenges faced during the roll-out. The intricacies of implementing a large-scale system such as CBS are educational, but nevertheless daunting. The findings of the paper articulated that obstacles could be overcome through human ingenuity and discipline. The paper stresses that structural approach of software development is necessary for long-term success of a project and properly trained software professionals is integral to the development of a complex software project.

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)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.856
Threshold uncertainty score0.906

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.016
GPT teacher head0.219
Teacher spread0.202 · 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