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Record W2604969919 · doi:10.3138/ctr.170.004

Heart of the Telling

2017· article· en· W2604969919 on OpenAlexvenueno aff
Michelle L. Olson

Bibliographic record

VenueCanadian Theatre Review · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativeIndigenousStatus quoAestheticsPerceptionRepresentation (politics)SociologyStorytellingGender studiesPolitical scienceArtPsychologyLiteratureLaw

Abstract

fetched live from OpenAlex

This article explores how the dominant narrative is deeply rooted in the performing arts community and shares how Indigenous practice and performance uproots this narrative. Artists are always positioned in relationship to the dominant narrative, whether they are aligned with it or counter to it. Presenters are also in relationship with the same narrative, whether they uphold it or challenge it with their programming. Because this narrative has such a stronghold on shaping our perception as a society, it dictates representation on the stage, leaving very little room for Indigenous work to be seen. In order to shift this inequity, the dismantling of the structures that the status quo has built is essential. Challenging perceptions and values as a community is needed. By engaging with work that is grounded in Indigenous values, Indigenous cosmologies, and a sense of ritual, our collective perception will widen and the foundation of our home will shift, allowing the walls of this new theatre to house all of our voices.

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)0.003
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.102
Threshold uncertainty score0.202

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0080.012
Scholarly communication0.0090.005
Open science0.0020.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0340.006

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 head0.046
GPT teacher head0.254
Teacher spread0.208 · 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 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

Citations0
Published2017
Admission routes1
Has abstractyes

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