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Record W2242924974 · doi:10.59962/9780774855747-016

Theoretical and Conceptual Perspectives on the Periphery in Contemporary China

2008· book-chapter· en· W2242924974 on OpenAlexaff
Pitman B. Potter

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2008
Typebook-chapter
Languageen
FieldSocial Sciences
TopicHong Kong and Taiwan Politics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsChinaEpistemologyPolitical scienceSociologyHistoryPhilosophyLaw

Abstract

fetched live from OpenAlex

China exists geographically and conceptually at the centre of an ever-widening series of concentric borderlands. For most of the imperial and modern periods, China's cultural centre rested along the course of the Yellow River. Today, China's relations with the borderlands of the “Inner Periphery” reflect a combination of cultural superiority and deep-seated unease, standing against the context of the policy imperatives of national integration. From Beijing's perspective, the Periphery, comprising Hong Kong, Macao, and Taiwan, reflects historical influences of imperialism and internationalization that have drawn these mainly Chinese societies into greater integration with the world political economy. In both the Inner and the Outer Peripheries, relations with China proper and the central government are conflicted by differences of expectation about autonomy; by differences in perspectives of place that construct the peripheries alternatively as homelands or as border zones of key strategic importance to China; and by differences in ethnicity, language, and culture that affect dynamics of development and organization. Comparison both within and between the Inner and Outer Peripheries can yield important insights not only into China's relations with these areas -- an issue important in its own right -- but also into China's sense of itself. Such comparisons can reveal the ways in which pursuit of national integration in China remains contingent up on central and local conditions, interests and explanations.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.902
Threshold uncertainty score0.994

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 studies0.0000.009
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.025
GPT teacher head0.213
Teacher spread0.187 · 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 designTheoretical or conceptual
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

Citations12
Published2008
Admission routes1
Has abstractyes

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