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Record W3122653574 · doi:10.3386/w22865

Japan’s Ultimately Unaccursed Natural Resources-Financed Industrialization

2016· report· en· W3122653574 on OpenAlexafffund
Randall Mørck, Masao Nakamura

Bibliographic record

VenueNational Bureau of Economic Research · 2016
Typereport
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in Asia
Canadian institutionsUniversity of AlbertaUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of CanadaNational University of SingaporeWorld Bank Group
KeywordsIndustrialisationNatural resourceNatural (archaeology)Natural resource economicsBusinessEconomicsGeographyPolitical scienceLawMarket economyArchaeology

Abstract

fetched live from OpenAlex

Japan's successful industrialization in the late 19th and early 20th century largely exhausted its then abundant natural resources. Rather than exemplifying rapid development in the absence of natural resources, Japan shows how laissez-faire government and successfully transplanted classical liberal institutions, including active stock markets, exorcised a natural resources curse that undermined its prior state-led industrialization strategy. Japan's post-WWII reconstruction relied little on natural resources and more on bank financing and state direction, but was not an example of an initial industrialization.

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)0.015
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.792
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.463
GPT teacher head0.564
Teacher spread0.102 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2016
Admission routes2
Has abstractyes

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