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Record W2128962120 · doi:10.5539/res.v4n4p132

Arthur Lewis’ Dualism, the Literature of Development Economics, and the Less Developed Economies

2012· article· en· W2128962120 on OpenAlexvenueno aff
Hamid Hosseini

Bibliographic record

VenueReview of European Studies · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsnot available
FundersKing's College London
KeywordsDualismEconomicsInformal sectorDeveloping countryNeoclassical economicsAgricultureEconomic systemEconomyMarket economyEconomic growth

Abstract

fetched live from OpenAlex

Almost 60 years ago, Arthur Lewis published his seminal, classically-based dualism paper. Assuming a modern capitalist sector in urban centers of the LDCs and a traditional agricultural sector with an unlimited supply of labor in their rural areas, the policy implications of the model was that with the right mix of economic policies and resources, the disguised unemployed labor of the rural sector will eventually be absorbed into the modern capitalist sector, thus, transforming the poor underdeveloped economies into modern dynamic ones. Obviously this transformation did not take place. Instead, the migration of the traditional agricultural workers to the cities gave rise to another dualism, the formal-informal dichotomy. In this paper, after discussing the Lewis model, its significance to the history of development economics and its refinements by Fei, Ranis and others, the causes of the failure of the model will be explored. It will be argued that the assumptions of this classically-based model did not fit the realities of most contemporary LDCs, and that it could not predict the rise, or the significance, of the informal economy in the LDCs. Next, the various dimensions, causes, characteristics, and significance of the much neglected informal sector in the LDCs will be explained.

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)0.005
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.960
Threshold uncertainty score0.515

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
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 integrity0.0000.000
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 head0.076
GPT teacher head0.270
Teacher spread0.194 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations12
Published2012
Admission routes1
Has abstractyes

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