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Record W2266596277

What we talk about when we talk about Indian

2014· book-chapter· en· W2266596277 on OpenAlexaboutno aff
Yvette Nolan

Bibliographic record

VenueAmericanae (AECID Library) · 2014
Typebook-chapter
Languageen
FieldArts and Humanities
TopicTranslation Studies and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsHistory
DOInot available

Abstract

fetched live from OpenAlex

here are many Shakespearean plays I could see in a native setting, from A Midsummer Night's Dream to Coriolanus, but Julius Caesar isn't one of them', wrote Richard Ouzounian in the Toronto Star in 2008.He was reviewing Native Earth Performing Arts' adaptation of Julius Caesar, entitled Death of a Chief, staged at Buddies in Bad Times Theatre, Toronto.Ouzounian's pronouncement raises a number of questions about how Indigenous creators are mediated, and by whom, and how the arbiter shapes the idea of Indigenous. 1 On the one hand, white people seem to desire a Native Shakespeare; on the other, they appear to have a notion already of what constitutes an authentic Native Shakespeare.From 2003 to 2011, I served as the artistic director of Native Earth Performing Arts, Canada's oldest professional Aboriginal theatre company.During my tenure there, we premiered nine new plays and a trilingual opera, produced six extant scripts (four of which we toured regionally, nationally or internationally), copresented an interdisciplinary piece by an Inuit/Qubecois company, and created half a dozen short, made-to-order works, communitycommissioned pieces to address specific events or issues.One of the new plays was actually an old one, the aforementioned Death of a Chief, which we coproduced in 2008 with Canada's National Arts Centre (NAC).Death, an adaptation of Shakespeare's Julius Caesar, took three years to develop.Shortly after I started at Native Earth, Aboriginal artists approached me about not being considered for roles in Shakespeare (unless producers were doing Midsummer Night's Dream, because apparently fairies can be Aboriginal, or Coriolanus, because its hero struggles to adapt to a consensus-based community).Even when they did get an audition, they often did not have the tools to nail the part.Most of our artists still do not have conservatory training; 1 There is no single appropriate or agreed-upon term that can be adopted to refer to the Indigenous peoples of Turtle Island (North America), and nomenclature shifts and evolves in different cultures.This chapter uses the term Indigenous in the broadest sense, to include such disparate and far-flung groups as the Mori, Canadian First Nations and Aboriginal Australians.I often use Aboriginal when referring to a community of artists from different First Nations, or in the case of Native Earth, respecting the way the company self-identifies ('Canada's oldest professional Aboriginal theatre company').Where possible and appropriate, I refer to particular nations, such as Guna, Algonquin, Cree and so forth.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.713
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0690.002

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 head0.027
GPT teacher head0.224
Teacher spread0.197 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2014
Admission routes1
Has abstractyes

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