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Translation as growth: Xiangsheng’s growing trajectory in China and abroad

2025· article· en· W4407511455 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueThe Journal of Specialised Translation · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsCape Breton University
FundersSt. Francis Xavier University
KeywordsChinaTranslation (biology)TrajectoryPolitical scienceBiologyPhysicsAstronomy

Abstract

fetched live from OpenAlex

To survive in different environments, performances adapt and grow to the measure of the different conditions of reception offered by these contexts. This article reviews the development in China and abroad of xiangsheng, or ‘crosstalk’, a Chinese comic double-act that relies on quickfire exchanges and narrative skills on stage. It brings together a blend of scripted material and improvisation whose address to the audience is immediate. Through the ecological metaphors of growth and using the lens of semiotic translation, we characterise translation as growth and explore the complexities in xiangsheng’s developing trajectories over time. We review xiangsheng’s development in China by examining current archives and research and examine its growth in diasporic performers by combining interviews with semiotic and textual analysis. Our exploration reveals that translation enables the intermingling of political tension, performers’ self-awareness, audiences’ social and cultural background, and the broader historical background of the form itself as it grows and evolves in different times and locations.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.867
Threshold uncertainty score0.373

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.031
GPT teacher head0.281
Teacher spread0.250 · 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