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Record W2061085517 · doi:10.1080/00472330480000291

Neoliberal economic reforms, the rich and the poor in Bangladesh

2004· article· en· W2061085517 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 Contemporary Asia · 2004
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPovertyEconomic reformEconomicsEconomic growthDevelopment economicsStructural adjustmentLand reformAgricultureEconomic policyPolitical sciencePoliticsMarket economyGeography

Abstract

fetched live from OpenAlex

Abstract Bangladesh has been implementing neoliberal structural adjustment policies since the early 1980s. This article analyzes the economic and social outcomes the reform policies have created in the past two decades. It argues that the reform policies, instead of distributing benefits among different societal groups, have brought an economic windfall mainly for the business and industrial class in Bangladesh. Compared to the 24 families of erstwhile United Pakistan, there is now a small group of 40 to 50 families who effectively control the total industrial and financial assets of this poor nation. The vast majority of other societal groups and classes- the industrial and agricultural labor, small businesses, marginal and small farmers, and urban and rural poor — are left out by the reform agenda. The lack of policies of distributional justice has resulted in widening disparities in income and wealth between the low and high strata of the society and deterioration in the overall poverty situation of the country.

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)0.002
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 score0.102
Threshold uncertainty score0.332

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.020
GPT teacher head0.224
Teacher spread0.204 · 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