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Record W2747996678 · doi:10.3138/ctr.171.021

“I’m asking, queer 2 queer: are we family?”: Reflections on Canada’s First National Queer Theatre and Performance Conference

2017· article· en· W2747996678 on OpenAlexvenueaboutno aff
Katie Sly

Bibliographic record

VenueCanadian Theatre Review · 2017
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsQueerTransphobiaGender studiesOppressionAbleismHonourQueer theorySociologyMedia studiesPolitical scienceTransgenderPoliticsLaw

Abstract

fetched live from OpenAlex

The editors of Canadian Theatre Review invited bisexual, genderqueer playwright, performer, and curator Katie Sly to offer their reflections on participating in Q2Q, Canada’s first national symposium on queer theatre and performance. In their article, “I’m asking, queer 2 queer: are we family?” Katie examines the charged and contentious energy of the conference, and offers that within queer performance circles, there is not sufficient inter-generational understanding, and there is not enough of a universally aligned perspective on how racism, ableism, and transphobia are enacted in queer spaces, for queer theatre professionals across this country to call each other kin. Rather than seeing this as a failing of the queer performance community or Q2Q, however, Katie posits that contentions that arose at Q2Q are a direct indication of why this national symposium was necessary, and that the repetition of Q2Q is an essential component in building a more compassionate, empathetic, and aware queer performance community, in which we can honour our personal biographies of struggle and oppression surrounding being queer, while also realizing that our biographies do not divorce us from systemic advantages based on race, being cisgender, and other visible and invisible identities.

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)0.014
metaresearch head score (Gemma)0.020
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: Commentary · Consensus signal: none
Teacher disagreement score0.102
Threshold uncertainty score0.740

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.020
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.010
Science and technology studies0.0100.008
Scholarly communication0.0090.003
Open science0.0040.003
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0070.001

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 head0.082
GPT teacher head0.325
Teacher spread0.243 · 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
GenreCommentary

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 routes2
Has abstractyes

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