In Their Own Words: Disseminating Feminist Self-Art Histories in Sound Archives
Bibliographic record
Abstract
In 2009, artist Marysia Lewandowska began digitizing and sharing the Women Audio Archive (WAA) online. Begun in 1983 and conducted until the early 1990s, the WAA is a sound archive containing around 120 hours of public and private conversations recorded by the artist between London, the United States, and Canada with a Sony Walkman WM‑F1 cassette player. The WAA embodies the trajectory of feminist interview and oral history practices of the 1970s in an exemplary way, deliberately exploiting the potential of analog recording technology to capture traditionally marginalized voices of art and social history. Considering the obsolescence of recording technologies and dissemination channels, this paper interrogates the historical forms of accessibility to feminist art practices of self‑historicization and calls for reflection on the shift that the digitization of these sound documents entails. Particular attention will be given to the historical negotiations of intellectual co‑ownership and the contemporary contexts in which private analogue sound archives can become public and open source following their digitization.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.023 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".