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Record W2006033618 · doi:10.2307/3557825

Japan After the Economic Miracle: In Search of New Directions.

2001· article· en· W2006033618 on OpenAlexvenueaboutno aff
Wesley Sasaki‐Uemura

Bibliographic record

VenuePacific Affairs · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsMiracleEconomic miraclePolitical scienceHistoryLawPolitics

Abstract

fetched live from OpenAlex

Acknowledgements. Introduction P. Bowles, L.T. Woods. I. Searching for New Directions: The Japanese Challenge and Response. Japan's Postwar Fordism: An Historical Perspective on the Economic Crisis in Japan J. Price. Restoring the Legitimacy of Japanese Business in the Post-Bubble Era: Can Good Economics Make Good Ethics Easier? T. Ursacki. Changing Behaviour of Japanese Consumers C. Beaupre. Back In the Race: Japan and the Internet K. Coates. New Directions in Canada's Japanese-Owned Automobile Plants P. Parker, T. Rutherford, T. Koshiba. Producing and Managing Hazardous Waste in Japan D. Munton. Sustainability of Farm Settlements in Japan After the Economic Miracle: A Case Study of Onoji Hamlet in Yamanashi Prefecture A. Tabayashi, T. Kikuchi, T. Waldichuk. New Directions in Japanese Urban Planning: A Case Study of Nagoya D.W. Edgington. The Aging of Japanese Society: Human Resource Management in Transition K.V. Ujimoto. Contemporary Party Politics in Japan: An Old Wine in a New Bottle? A. Kubota. II. Searching for New Directions: The Canadian Challenge and Response. Breaking Into The Japanese Market: Canadian Companies and the Challenge of Doing Business in Japan C. Holroyd. Learning With A New Media X.J. Yang. History of Japanese Language Education at UBC, 1956-1998: Challenges and Future Directions K.-H. Lynn. Teaching Japanese to A Multicultural Student Population R. Chau, Y. Shibata. Beyond Boundaries: Japanese Migrant Women in North America Y. Ishii. Index.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.751
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.264
Teacher spread0.246 · 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 designQualitative
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

Citations3
Published2001
Admission routes2
Has abstractyes

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