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Record W3164728773

Moving From ‘Developmental’ to ‘Anti-Developmental’ Local Financial Models in East Asia: Abandoning a Winning Formula

2020· article· en· W3164728773 on OpenAlexaff
Milford Bateman

Bibliographic record

VenueSSRN Electronic Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in Asia
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsDevelopmental stateEast AsiaEliteMiracleFinancial sector developmentEconomicsPrivate sectorPolitical scienceEconomic growthFinanceFinancial sectorChinaPolitics
DOInot available

Abstract

fetched live from OpenAlex

One of the decisive but often overlooked factors in the creation of the East Asian ‘economic miracle’ was the part played by a variety of heterodox sub-national state, community and cooperatively owned and controlled financial systems, institutions and lending models. Beginning with Japan after 1945, local financial systems were (re)constructed across East Asia in a way that very efficiently operationalised key development policy goals through targeted local enterprise development. Yet in spite of marked success with this ’developmental’ local financial model, from the 1980s onwards the international development community, led by the US government and the World Bank, began an effort to discredit and replace it with a new commercially-oriented private sector- led local financial model promoting mass individual entrepreneurship with the help of a for-profit microcredit sector. This article begins by briefly summarising why such ‘developmental’ local financial models were important to East Asia’s economic miracle before I turn to examining why, how and what happened when after 1980 the international development community quietly set out to undermine and destroy them. I conclude from this analysis that the international development community’s desire to begin to impose its own neoliberal ide- ology and narrow elite-driven enrichment goals in East Asia far outweighed the ongoing development successes registered by the ‘developmental’ local financial models that emerged after 1945.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.321
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.252
Teacher spread0.231 · 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.

Study designQualitative
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

Citations0
Published2020
Admission routes1
Has abstractyes

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