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Record W2344988245 · doi:10.1017/s0147547915000332

From China to the Big Top: Chinese Acrobats and the Politics of Aesthetic Labor, 1950–2010

2016· article· en· W2344988245 on OpenAlex

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

VenueInternational Labor and Working-Class History · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsQueen's University
Fundersnot available
KeywordsChinaPoliticsLabor historyHierarchyCommercializationState (computer science)Political scienceLabor relationsLaw

Abstract

fetched live from OpenAlex

Abstract Since the mid-1980s, North American circus shows have imported jaw-dropping acrobatic acts from the People's Republic of China. This article examines the shifting politics of body and labor that facilitate the international recruitment of Chinese acrobats. Drawing on oral history interviews and archival materials, this study analyzes how a socialist labor hierarchy and ideas of ownership shape acrobats’ relationships with the Chinese state. Since the 1980s, these politics of labor and body have shifted in accordance with the accelerated commercialization of acrobatics, facilitating the international export of acrobats’ labor. This historical investigation sheds light on an overlooked chapter in the history of temporary foreign workers.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.558
Threshold uncertainty score0.813

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 studies0.0000.001
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 head0.019
GPT teacher head0.251
Teacher spread0.232 · 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