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Record W2080140542 · doi:10.5539/ass.v4n11p143

Revelation of Three Periods of Japan Economic Development on the Economic Development of China

2009· article· en· W2080140542 on OpenAlexvenueno aff
Shijie Ma, Jian Li

Bibliographic record

VenueAsian Social Science · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobalization, Economics, and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsChinaBoomDepression (economics)Great DepressionEconomicsChinese economyDevelopment economicsEconomyPolitical scienceMacroeconomicsEngineering

Abstract

fetched live from OpenAlex

For the development stage, the actuality of China economy is very similar to the initial stage of 1970s in Japan, so we can use some feasible experiences to solve economic problems by Japan at the beginning of 1970s. The research to the foam economy in the middle and late stage of 1980s in Japan induces the consideration whether China would follow the same old disastrous road of Japan in 1980s. After that, from the long term depression of Japan in 1990s, we should exactly treat the China depression theory which has been occurred. Reviewing the course from the boom at the beginning of 1970s to the formation and break of foam in the middle and late of 1980s and to the long term depression in 1990s of economic development experienced by Japan, we can get some revelations about many aspects such as macro-economic control and financial security.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.236
Teacher spread0.210 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2009
Admission routes1
Has abstractyes

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