Bibliographic record
Abstract
The subject of this dissertation is contemporary queer feminist performance in Canada. My practice-informed research takes a unique approach to studying performance through what I call the queer performance scramblea term that draws on the multiple meanings of scramble to understand the aesthetics of queer performance and its challenges to stable conceptions of both identity and temporality. I investigate works that are happening now and that scramble the sticky elements of their own cultural constructions and queer temporalities. The temporal turn in queer theory supports my engagement with the effects of temporality, performativity, and history on queer performance, and, conversely, the effects of queer performance on time. I am equally interested in the formal and material dimensions of the work I study. I look to the content, style, material conditions, and social scenes of queer feminist performance from the perspective of both an academic and an artist to make accessible work that is often marginalized within Canadian cultural production ecology. \nChapter 1 investigates queer feminist hauntings with an analysis of Allyson Mitchell and Deirdre Logues Killjoys Kastle: A Lesbian Feminist Haunted House. Chapter 2 argues that cabaret is the primary site for queer feminist performance in Canada, and when framed as a methodological problem/solution matrix, both the celebratory and limiting potential of the form can be explored. In chapter 3 I analyze performances by Jess Dobkin, Dayna McLeod, and Shaista Latif to excavate forms of durationality that expose the complex interplay of life and art. And, in chapter 4, I turn to practice-based research methodology to explore the concept of queer resonance in a trans feminist performance called trace.\nThis research will give rise to new conversations about the Canadian performance ecology and its performance archive. It will enrich theoretical considerations of queer as always already transtemporal and intractable and make an intervention into the ideological space between queer and feminist performance studies. Thinking within the rubric of the queer performance scramble means thinking differently about performance and timewhile always keeping the art at the very centre of the investigation and always returning to it for guidance.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.032 | 0.017 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".