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Record W2073872882 · doi:10.3138/ctr.161.004

Cultivating a Cross-border, Extra-theatrical Assemblage in Resistance to Femicide in the Americas

2015· article· en· W2073872882 on OpenAlexvenueaboutno aff
Helene Vosters

Bibliographic record

VenueCanadian Theatre Review · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsFemicideNarrativeResistance (ecology)Context (archaeology)Assemblage (archaeology)Human rightsColonialismPlacemakingSociologyMedia studiesPolitical scienceHistoryArtVisual artsLawLiteraturePoison controlArchaeologyDomestic violenceArchitecture

Abstract

fetched live from OpenAlex

Abstract: The panamerican ROUTES/RUTAS panamericanas international multiarts festival on human rights (RUTAS) took place at Toronto’s Daniels Spectrum from 27 February to 9 March 2014. Produced by Aluna Theatre—in partnership with Native Earth Performing Arts—the international performing arts festival brought together artists, activists, and scholars from across the Americas. The events discussed in this article—performances and a panel—took place on the final weekend of RUTAS and were part of a cluster organized around the issue of “Femicide in the Americas.” In curating theatrical productions within the context a larger assemblage of performances and conversations organized around the question of Indigenous and human rights issues in the Americas RUTAS overcame two of theatre’s primary challenges—its containment and its positioning of the audience as spectator—dangers that are amplified when staging trauma and when placing narratives of the “other” on display. Further, by extending the horizon of our collectivist accounting to a Pan-American perspective RUTAS also challenged the containment of narratives of femicide and colonialism within nationalistically inscribed borders and in the process disrupted conventionally held notions of Canadian exceptionalism and cultivated possibilities for the mobilization of transborder resistance.

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)0.002
metaresearch head score (Gemma)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.778
Threshold uncertainty score0.846

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.042
GPT teacher head0.380
Teacher spread0.338 · 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.

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

Citations4
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Theatre ReviewSame topicCanadian Identity and HistoryFrench-language works237,207