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Record W7007157525

아ㆍ태지역에서 엔블럭의 형성과 APEC내 정책조정논의

2010· other· en· W7007157525 on OpenAlexaboutno aff

Bibliographic record

VenueSeoul National University Open Repository (Seoul National University) · 2010
Typeother
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsCurrencyLiberian dollarDebtCommodityAsset (computer security)Exchange ratePortfolioQuarter (Canadian coin)Reserve currencyFinancial marketForeign-exchange reserves
DOInot available

Abstract

fetched live from OpenAlex

The findings described in this paper reveal the uses of the yen from various perspectives. Although Japanese exports and imports increased sharply, the use of the yen as a unit of account, as a vehicle, or as an asset in portfolio has not risen to a status parallel to commodity flows. Exports from and imports to Japan are predominantly denominated in dollars instead of yen, although the yen-invoice ratio has been increasing. This seems to be a result of Japan"s trading structure, and Japan"s closed capital markets.\n\n More than half of Japan"s exports to Asian countries are denominated in yen, but only a quarter of Japan"s imports from Asian countries are denominated in yen. The yen is more important in the Asian region. This is reflected in the official reserve currency composition among the Asian countries. However, a major increase in the 1980s occurred because of appreciation of the yen instead of active rebalancing. The yen denominated external debt among the Asian countries has risen compared with debt denominated in other currencies, mostly in dollars.\n\n Also, we have examined the yen bloc issues from trade, financial and optimum currency area perspectives. We have not found any strong currency ties to the yen. The increase in trade among Asian nations can be explained the new trade pattern and new foreign investment. On financial side, there is some evidence that Tokyo financial markets influence interest rates in Asian countries, but not to a greater extent that New York. Asian exchange rates are also more pegged to the dollar than to the yen. Similarly, the yen is not used extensively as an invoice or vehicle currency even in the Asian region. But, we have found the possibility of a macroeconomic coordination in the APEC.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Open science, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.602
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0060.002
Research integrity0.0010.001
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 head0.014
GPT teacher head0.208
Teacher spread0.194 · 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.

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

Citations0
Published2010
Admission routes1
Has abstractyes

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