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Record W3109917219 · doi:10.1142/s0218495820500053

A Comparative Study of SME Policies: Bangladesh and Pakistan

2020· article· en· W3109917219 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

VenueJournal of Enterprising Culture · 2020
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health and Epidemiology
Canadian institutionsDalhousie University
Fundersnot available
KeywordsGovernment (linguistics)BusinessPoliticsEconomic growthDeveloping countryDevelopment economicsEconomicsPolitical science

Abstract

fetched live from OpenAlex

This article attempts to understand the developments in policy making and financing for Small and Medium Enterprises (SMEs) of Bangladesh and Pakistan. From 1947–1971, Bangladesh was a part of Pakistan, as East Pakistan, while the remaining current Pakistan, is referred as West Pakistan. However, in 1971 a political turmoil resulted in a separation of two parts into two different nations. Since then, both have taken different routes to develop their economies along with heavy reliance on SMEs. This paper explores the key differences in financing and policy for SMEs in Bangladesh and Pakistan with a comparative study based on literature, empirical case studies and analysis of government policies and regulations, trying to identify some main takeaways from Bangladesh and Pakistan’s market for entrepreneurs, investors and policy makers.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score0.334

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.126
GPT teacher head0.505
Teacher spread0.379 · 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