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Record W4282978712 · doi:10.1111/area.12812

Towards a critical geopolitics of China–<scp>US</scp> rivalry: Pericentricity, regional conflicts and transnational connections

2022· article· en· W4282978712 on OpenAlexaff
Seth Schindler, Jessica DiCarlo

Bibliographic record

VenueArea · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCommunism, Protests, Social Movements
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRivalryGeopoliticsScholarshipCold warChinaContext (archaeology)Political sciencePolitical economyCompetition (biology)SociologyHistoriographyPoliticsLawHistoryEconomics

Abstract

fetched live from OpenAlex

Abstract The deterioration of bilateral relations between the US and China heralds a new chapter in geopolitics increasingly characterised by competition and confrontation. We introduce insights from contemporary Cold War historiography, which we suggest can help deepen our understanding of the present. Historians have largely rejected the notion that the Cold War was a bipolar struggle between great powers. Instead, the ‘Global Cold War’ is increasingly interpreted as an era, order or context whose diverse localised manifestations necessitate multilingual research around the world. This scholarship draws attention to the conflict's ‘pericentric’ nature, its diverse regional manifestations and the transnational connections it enabled. We demonstrate that these concepts can inform research on contemporary China–US rivalry and suggest a multi‐scalar and multi‐sited research agenda in line with approaches of feminist political geography and critical geopolitics.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0070.031
Scholarly communication0.0070.006
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.049
GPT teacher head0.330
Teacher spread0.281 · 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 designTheoretical or conceptual
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

Citations18
Published2022
Admission routes1
Has abstractyes

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