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Record W4254032313 · doi:10.3138/tric.39.1.42

Through the Fictive to the Real(ish): Affective Time and the Representation of “Real Newfoundland” in Rising Tide Theatre’s Trinity Pageant

2018· article· en· W4254032313 on OpenAlexvenueaboutno aff
Kelsey Jacobson

Bibliographic record

VenueTheatre Research in Canada · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRepresentation (politics)SociologyAestheticsPerceptionInclusion (mineral)Visual artsArtEpistemologyLawGender studiesPhilosophyPoliticsPolitical science

Abstract

fetched live from OpenAlex

In this article, Jacobson examines the ways in which the Trinity Pageant in Trinity, Newfoundland, Canada aims to animate local culture through a two-hour walking tour around the town’s historic sites that is largely predicated on a sense of realness. Using interviews with audience members and the pageant’s director Donna Butt as primary source material, Jacobson considers the perception and function of realness in the pageant’s re-enactment. She first uses theories of site-specificity, historical re-enactment, and theatrical time to consider the various forms of the “real” at work in the production. Jacobson then suggests the work that might be accomplished by such affectively real performance, as both a marker and maker of real identity, supported by the theories of Elin Diamond and Erin Hurley. Using concepts from Rebecca Schneider and Tracy C. Davis, Jacobson also argues that the affective time created by the pageant’s blending of past history and present-day performance creates a future imperative in which audience members are compelled to save the authentic culture they have just witnessed. Finally, she considers the implicitly conservative preservationist impulse that underscores the pageant’s re-enactment to trouble notions of inclusion, belonging, and community.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.146
Threshold uncertainty score0.293

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.036
Scholarly communication0.0090.003
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.064
GPT teacher head0.334
Teacher spread0.270 · 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 designQualitative
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

Citations0
Published2018
Admission routes2
Has abstractyes

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