Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».