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Record W2748657025 · doi:10.3138/tric.38.1.52

Staging the International Embrace: George Leslie Mackay Narratives on Taiwanese Stages

2017· article· en· W2748657025 on OpenAlexvenueaboutno aff
Josh Stenberg

Bibliographic record

VenueTheatre Research in Canada · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicHong Kong and Taiwan Politics
Canadian institutionsnot available
Fundersnot available
KeywordsGeorge (robot)DialogicNarrativeLegitimacyOperaConsciousnessPuppetryWhite (mutation)MonsterIdentity (music)SociologyAestheticsHistoryVisual artsLiteratureArtPsychologyArt historyLawPolitical science

Abstract

fetched live from OpenAlex

Josh Stenberg considers three Taiwanese productions of the last ten years (puppetry, Western opera, xiqu), which have dramatized the life of nineteenth-century Presbyterian missionary George Leslie Mackay. The article connects the way in which a Canadian white foreigner is represented on stage with Taiwan’s anxiety surrounding its lack of international recognition, arguing that Mackay has been enlisted in Taiwanese nationbuilding theatre as a wish-fulfilling stand-in for desirable foreigner behaviour. Since the legitimacy and characteristics of an autonomous Taiwanese consciousness (like Canadian identity) are disputed and evolving, this case serves to examine theatre as a medium during an embryonic stage in the production of nationhood: the Mackay productions are theatre for a nation that—depending substantially on foreign attitudes—may or may not yet be produced. Furthermore, attention to this Canadian character abroad broadens the discussion of Canadian intercultural theatre by drawing attention to how, since identities are dialogic, Canadians are not the only ones who get to decide who we are or what we mean.

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.733
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.121
GPT teacher head0.431
Teacher spread0.310 · 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 designNot applicable
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

Citations1
Published2017
Admission routes2
Has abstractyes

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