Bibliographic record
Abstract
This article reports on the first phase of a four-year, multi-university Canadian research project called ‘In and Out of the Studio’. The intention of this project is to study the experiences and working practices of women sound producers in Canada, and to produce a multimedia computer installation and set of articles about their ideas, approaches and philosophies. We are studying gender issues that affect the work of these women in areas as diverse as film sound recording and post-production, sound engineering, radio art, performance art, experimental music, audio documentary production, and web sound. This is a wide range of disciplines, with their associated professional formations. What links the experiences of these diverse cultural workers is their focus on organising sound, and their gender. The first phase of the research focuses on formations: the following phase will concentrate on working practices through a discussion and analysis of specific recent works produced by the participants. The second part of this article explores the working processes of Hildegard Westerkamp in her composition of Gently Penetrating Beneath the Sounding Surfaces of Another Place (1997), through an interview with Westerkamp conducted in 1997. This interview will be used as a model for the in-depth studio interviews in the present study.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.021 | 0.007 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
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".