Building a new world: Negotiating gender Identity and technology in Canada’s electroacoustic music industry
Bibliographic record
Abstract
Andra McCartney’s 1995 study of women electroacoustic composer-performers in Canada found that “to be a woman composer of electroacoustic music is to straddle two worlds, both gendered male.” As such, this thesis investigates how McCartney’s findings have changed since the 1990s. Through a literature review of women composer-performers in the electroacoustic music industry writ large, an investigation of the gender-technology relationship, and ethnographic interviews with people working in Canada’s electroacoustic music industry, I show what women, queer, and gender non-conforming people offer to electroacoustic music environments. Interviews with participants reveal the inherent gender bias and stereotyping in electroacoustic music spaces, and the need for intervention and reinvention so as to increase representation and equality in the field for women, non-binary, and transgender people. Participants’ experiences reveal the necessity of queer, feminist, and post-human methodological frameworks when looking to build a new electroacoustic world that includes all voices and perspectives. This thesis establishes the importance of contributions from all genders in creating supportive, safe, and balanced electroacoustic music environments and also works to provide a platform for underrepresented voices in the field, acting as a foundation upon which next steps to improving electroacoustic music environments, and future research, can occur
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.056 | 0.037 |
| Scholarly communication | 0.019 | 0.006 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
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".