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Record W2127587915 · doi:10.5539/ach.v3n1p54

The Institute of Pacific Relations and Research on Issues of Northeast China

2011· article· en· W2127587915 on OpenAlexvenueno aff

Bibliographic record

VenueAsian Culture and History · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsChinaInternational relationsAsia pacificPolitical sciencePower (physics)Order (exchange)Pacific oceanWorld War IIEconomyEconomic historyHistoryLawPoliticsEconomicsOceanography

Abstract

fetched live from OpenAlex

The Institute of Pacific Relations was an international non-governmental organization in the Asian-Pacific region after the First World War. Chinese Institute of Pacific Relations was an intellectual group with strong liberalism color converted from a desultory organization with Christianism color. In order to investigate the practical condition of Japanese power in Northeast China from all aspects, Northeast China PTPI played an important role. At the same time, major leaders of Northeast China PTPI were present at the international Pacific academic conference, and discussed the following issues: historical origin of northeast China, foundation of treaties signed by foreign countries about their rights in northeast China, and economic interest and railway issues of big powers in northeast China, etc. At the conference, Chinese delegates made known to the world the secret of Japanese imperialism invasion in China and the world, namely, “Tanaka Memorial”.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.005
Scholarly communication0.0040.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.078
GPT teacher head0.321
Teacher spread0.242 · 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 designNot applicable
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

Citations1
Published2011
Admission routes1
Has abstractyes

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