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Record W1984059112 · doi:10.2478/v10103-009-0033-4

Japan's new competitive advantage: the arguments and proposals for structural reorientation

2010· article· en· W1984059112 on OpenAlexaboutno aff
Jolanta Młodawska

Bibliographic record

VenueComparative Economic Research Central and Eastern Europe · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobalization, Economics, and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsDeflationEconomicsLiberian dollarQuarter (Canadian coin)UnemploymentRecessionExchange rateFalling (accident)Business cycleGlobal recessionUnemployment rateGovernment (linguistics)Monetary economicsMarket economyKeynesian economicsEconomyMonetary policyMacroeconomicsFinance

Abstract

fetched live from OpenAlex

As forecasted by the Japanese government, the country’s economy will grow, although slowly. This expectation is determined by the risk that the labour market situation and the worldwide business cycle will keep deteriorating. It is believed that the economy will not be spurred by exports growing as a result of worldwide recovery, but rather by a series of stabilization packages and gradually expanding domestic demand61. The expectations should be treated with a great deal of cautiousness, because of the highly unpredictable rate of unemployment, the concerns about deflation and the probability of the global recession turning out more serious than expected. According to the AFP (Gazeta Wyborcza of 08 Dec. 2009), in the third quarter of 2009 the Japanese economy finally showed some signs of recovery and reached positive values; unemployment also dropped from 5.3% to 5.1% between September and October. The widespread opinion is that the recovery is very fragile, as proved by the steadily falling prices, deflation, and the rising yen exchange rate (the highest in the last 14 years – 84 yen to 1 US dollar), threatening the Japanese exports.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.015
Scholarly communication0.0070.009
Open science0.0010.004
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0060.001

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 head0.106
GPT teacher head0.357
Teacher spread0.251 · 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 designTheoretical or conceptual
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

Citations2
Published2010
Admission routes1
Has abstractyes

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