MétaCan
Menu
Back to cohort
Record W4403862119 · doi:10.61173/6yxmg555

Research on the Japanese Economy: The Impact of US-Japanese Relationship on the Economic Development of Japan After WWII

2024· article· en· W4403862119 on OpenAlex
Qian Chen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInterdisciplinary Humanities and Communication Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsWorld War IIJapanese post-war economic miracleWorld economyEconomicsEconomyPolitical scienceDevelopment economicsRed Army's tactics in World War II

Abstract

fetched live from OpenAlex

Living in a world full of diversity with all the countries having their specific ways and ideas of running and governing, the relationship between states and states becomes one of the most crucial factors in engaging in the peace of the world, which ensures the development together with the safety of every country on the planet. This piece of research paper investigates how the relationship of one country to another can have an impact on its total development, especially in terms of economics. In the paper, the author researches the specific case of the US-Japanese relationship and discusses how the relationship between Japan and the United States can influence economic development in Japan. The author provided two time period scenarios, which are the “Economic Miracal” era of Japan and the “Asset Price Bubble” era of Japan. By examining these case scenarios, the author concluded that a healthy US-Japanese relationship will subsequently lead to a healthy development of Japan’s economy. This provided the suggestion that states should maintain a balanced relationship with their allies to keep healthy growth as well as development.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.147
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.193
GPT teacher head0.428
Teacher spread0.236 · 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