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Record W2110661805 · doi:10.1017/s0022050702006162

A Time of Crisis: Japan, the Great Depression and Rural Revitalization . By Kerry Smith. Cambridge, MA: Harvard University Asia Center, distributed by Harvard University Press, 2001. Pp. xvii, 481. $40.00.

2002· article· en· W2110661805 on OpenAlexaboutno aff
Penelope Francks

Bibliographic record

VenueThe Journal of Economic History · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsParallelsGreat DepressionDepression (economics)PoliticsEconomic historyPolitical scienceRural areaRhetoricQuarter (Canadian coin)HistoryEconomyDevelopment economicsEconomicsLaw

Abstract

fetched live from OpenAlex

“Rural crisis” is a concept with which anyone who has lived through the summer of 2001 in Britain is only too familiar; the parallels between the rhetoric employed daily in the media here, and that surrounding the undoubtedly much more severe crisis that hit Japanese farm households in the 1930s, are a reminder that periodic agricultural instability remains an as-yet unsolved problem in industrial economies. Nonetheless, Kerry Smith's study of the impact of the Great Depression on rural Japan, which interweaves accounts of the national-level policymaking process with a case study of one village, locates Japan's rural crisis within the specific process of economic and political change that generated both the wartime political economy and significant features of the postwar institutional structure. In this, he reflects the ongoing work of a number of Japanese scholars who are seeking to locate the grass-roots-level continuities between the immediate prewar and wartime periods and the postwar era of reform and growth. However, his wide-ranging study is the first in English to trace in such detail, through the experiences of an individual village and its inhabitants, the impact of and responses to the depression in rural Japan.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.716

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.188
Teacher spread0.177 · 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 designNot applicable
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
Published2002
Admission routes1
Has abstractyes

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