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Record W4312468233 · doi:10.31857/s020736760023109-8

Japan: a Farewell to Communitarian Capitalism?

2022· article· en· W4312468233 on OpenAlexaboutno aff
V. Studentsov

Bibliographic record

VenueObshchestvo i ekonomika · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Industrial and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsCapitalismRecessionQuarter (Canadian coin)CurrencyGovernment (linguistics)Capital (architecture)EconomicsPolitical sciencePolitical economyDevelopment economicsKeynesian economicsMonetary economicsLawHistoryPolitics

Abstract

fetched live from OpenAlex

The peculiarity of the Japanese economic model in the postwar decades was determined by deep-rooted, specific religious and ethical tradition, shared by virtually all segments of society. However, its survival quite critically depended on maintaining high (or at least stable) rates of economic growth which had long been facilitated by low yen and by the measures aimed at protecting domestic market. During the period of rapid growth and high employment, there emerged a special economic structure: communitarian capitalism, based on somewhat unique character of labour-capital relations. Under the external pressure Japan had to revalue its currency that provoked recession and prolonged stagnation, exacerbated in addition by flawed government policies. It was then decided to correct the revealed weaknesses of the existing economic system, including the inflexibility, by strengthening the market mechanism. Yet the quarter-century experience of neoliberal reforms, many of which were at odds with traditional views of the Japanese, had not yielded desired results

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 categoriesScience and technology studies, 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.637
Threshold uncertainty score1.000

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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.041
GPT teacher head0.272
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; both teacher heads agree on what is shown here.

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
Published2022
Admission routes1
Has abstractyes

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