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Record W4380925734 · doi:10.3138/ctr.130.011

What’s All the Yap? Reading Mirha-Soleil Ross’s Performance of Activist Pedagogy

2007· article· en· W4380925734 on OpenAlexvenueaboutno aff
Trish Salah

Bibliographic record

VenueCanadian Theatre Review · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsTranssexualTransgenderPerformance artReading (process)Performance studiesArtVisual artsAnimal rightsMovie theaterArt historyMedia studiesSociologyHistoryGender studiesLawAnthropologyPolitical science

Abstract

fetched live from OpenAlex

Mirha-Soleil Ross is not the most well known transsexual artist out there, but she is certainly one of the hardest working. A Toronto-based performance artist, film- and video-maker and activist on a wide range of issues, Ross is also the chief architect of Counting Past 2, the first festival of transsexual and transgender art and performance in North America.1 In this paper, I look at Ross’s most ambitious and professionally successful performance work to date, Yapping Out Loud: Contagious Thoughts of an Unrepentant Whore, a sequence of performance monologues in which Ross brings together her concerns with sex-worker, animal and transsexual rights and reflects upon her fifteen years as a prostitute and activist.2 Straddling the genres of spoken word, dramatic monologue and multi-media performance, Yapping Out Loud utilized video footage of coyotes living in the wild and being hunted, live music and voice recordings by prostitute- and animal-rights activists to create multiple, shifting frames for Ross’s monologue in seven acts.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.471
Threshold uncertainty score0.937

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 studies0.0070.006
Scholarly communication0.0050.003
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.267
Teacher spread0.225 · 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
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

Citations2
Published2007
Admission routes2
Has abstractyes

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