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Record W7102721166 · doi:10.1515/9780295752822-001

Preface and Acknowledgments

2024· book-chapter· W7102721166 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Washington Press eBooks · 2024
Typebook-chapter
Language
FieldEngineering
TopicHuman auditory perception and evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsState (computer science)DisciplineCorporate governanceIdeologyService (business)

Abstract

fetched live from OpenAlex

Tis volume is unique in its examination of the impact of Xi Jinping's leadership across a broad scope of issue areas.When Rongbin Han and I commenced planning for the project at the American Political Science Association's annual conference in 2018, no one had done anything quite like it, though scholars had written about Xi's family background, views on governance, and experiences prior to becoming the most powerful Chinese leader since Deng Xiaoping.To supplement our own skills, we needed to recruit other scholars with diverse disciplinary backgrounds.Researchers working on the project had to have sufcient expertise to consider Xi's efect-not simply on political life-but also on related topics: the anti-corruption campaign, poverty alleviation, economic inequality, religion, public service provision, state surveillance, Han-minority tensions, and China-Taiwan relations.Consequently, we encouraged scholars worldwide to submit paper proposals and hosted the "Xi Jinping Efect" international conference at the Banf Centre in Alberta, Canada, in 2019.Six of the conference papers were published in the Journal of Contemporary China, volume 30, numbers 131 and 132 (2021).One of those, "Xi Jinping's Counter-Reformation: Te Reassertion of Ideological Governance in Historical Perspective" by Timothy Cheek, is included here with permission of Taylor & Francis.Other papers, which complicate and even problematize the Xi efect, were reserved and developed for publication in this book.We solicited additional chapters to fll important gaps and wrote an introductory overview, and Kevin J. O'Brien drafed a concluding chapter, based on his insightful commentary at the conference.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.856
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.002

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 head0.036
GPT teacher head0.220
Teacher spread0.184 · 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; both teacher heads agree on what is shown here.

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
Published2024
Admission routes1
Has abstractyes

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