Bibliographic record
Abstract
In this our 4th episode of New Aural Cultures, Richard Berry has been talking to 3 more authors about their work. Whilst each of authors arrives at podcasting from different routes there are themes that cut across each of their interviews that are central to some of the debates in podcast studies. In this episode Stacey Copeland talks about her work in feminist media and radio studies, and in particular the work of podcaster Kaitlin Prest in The Heart (if you haven’t already binged through The Heart we suggest that you add it to your list). Stacey is a media producer and Ph.D. student at Simon Fraser University’s School of Communication in Vancouver, Canada. She received her Master of Arts from the Ryerson York joint Communication and Culture graduate program where she studied with a focus on radio production, sound studies, media culture and gender studies. It was during her Master’s work that Copeland co-founded FemRadio, a Toronto, Canada based feminist community radio collective. Some areas of scholarly interest include feminist media, oral/aural histories, sound archives, media history, phenomenology of voice, sensory ethnography, and cultural heritage. Our second interview is the artist Robbie Wilson, who merged podcasting with art practice in his work called Wandercast. As piece of work this podcast provides an alternative application for the podcast form. Robbie is a creative practitioner, artistic researcher, and published author. His practice-as-research PhD was awarded in November 2018 – the project developed and examined playful, participatory strategies for finding novel ways of perceiving and interacting with people, places, things, and ideas. In this way, Robbie’s practice facilitates creative learning: it creates the conditions for creativity to be learned. In our third interview Kathleen Collins talks about her love for podcasts as a listener led to this investigation into comedian hosted podcasts and their link to conversations around mental health. Kathleen is a librarian and professor at John Jay College of Criminal Justice. since 2007. Previously, she was in the journalism field for a decade, working as an editorial researcher. She has written about television, media history and popular culture in both scholarly and popular publications.
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.023 |
| Scholarly communication | 0.021 | 0.012 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.009 | 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".