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Record W2277051328 · doi:10.1515/ngs-2014-0039

The Politics of Affect in Confucius Institutes: Re-orienting Foreigners towards the PRC

2014· article· en· W2277051328 on OpenAlex
Heather Schmidt

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

VenueNew Global Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsChinaAffect (linguistics)PoliticsSpace (punctuation)Investment (military)Chinese cultureWork (physics)Political scienceSociologyAestheticsMedia studiesArtLawEngineeringLinguisticsCommunicationPhilosophy

Abstract

fetched live from OpenAlex

Abstract This article examines the use of material objects and interactive technologies in Confucius Institutes (CIs) as a means of affectively engaging foreign audiences. By asking for an emotional investment in Chinese culture on the part of foreigners, CIs work to re-orient audiences outside China towards the People’s Republic of China (PRC) in positive ways. In particular, I examine a museum-like exhibit space in CI headquarters titled the China Exploratorium . While the exhibit ostensibly is meant to provide a brief overview of China, its culture and history, the space is less about cognitive learning and more about experiential learning. The Exploratorium invites bodily engagement with interactive displays as a means of getting foreign visitors to “feel” Chinese culture. This article explores three techniques used in the exhibit whereby affect is potentially produced (interactive displays, insertion of the self into the exhibit, and touristic devices). These techniques aim to make Chinese culture fun, entertaining and enjoyable, and the PRC a happy (and thus benign) place by association.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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: none
Teacher disagreement score0.656
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.072
GPT teacher head0.355
Teacher spread0.283 · 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