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Enregistrement W4283031568 · doi:10.1093/acrefore/9780190201098.013.1338

Podcast Studies

2022· reference-entry· en· W4283031568 sur OpenAlex
Hannah McGregor

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

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Notice bibliographique

RevueOxford Research Encyclopedia of Literature · 2022
Typereference-entry
Langueen
DomaineSocial Sciences
ThématiqueRadio, Podcasts, and Digital Media
Établissements canadiensSimon Fraser University
Organismes subventionnairesnon disponible
Mots-clésAmateurMusic industryAffordanceUploadAdvertisingSet (abstract data type)Media studiesSociologyComputer sciencePolitical scienceBusinessWorld Wide WebArtVisual artsLaw

Résumé

récupéré en direct d'OpenAlex

Abstract Podcasts are a new kind of digital text that demands new analytical approaches rooted in an understanding of the medium’s history, affordances, and politics. Emerging at the intersection of RSS (Really Simple Syndication) and digital audio technology, podcasts were originally framed as an accessible medium for amateur creators, an audio version of the blog. Although the early technological challenges of both making and downloading podcasts biased the medium toward the same demographic as tech culture (white men), the constant expansion of affordable recording technology and the lack of industry restrictions have led to podcasting’s rapid growth, with Apple announcing that it had reached 2 million podcasts in 2021. While only a small percentage of those podcasts are capable of drawing large-scale audiences, producers have found success catering to microcommunities through highly niche content. The ability to engage communities is enhanced by some of the defining characteristics of podcast aesthetics, namely their parasocial intimacy—that is, the tendency for listeners to think of their favorite podcast hosts as “friends in their ears.” Compared with radio, podcasts are less likely to adhere to professional production standards, and podcasters tend to be less formal and more “chatty” than radio hosts are. While podcasting has amateur and DIY roots, however, the success of true crime podcast Serial has contributed to the formalization of the industry around podcasting networks and a shared set of entrepreneurial practices, largely focused on attracting advertisers or otherwise monetizing shows. Although the most financially successful shows are still disproportionately produced in the United States and hosted by white men, the medium has also continued to diversify. The creation of podcasts that speak directly with and from the perspective of communities drives listenership within those communities, which in turn drives further podcast creation; this pattern can be observed in the expansion of African American podcast production between 2010 and 2020, and similar patterns are evident in Indigenous podcasting, queer and trans podcasting, and both international and non-English-language podcasting. The tendency for podcast listeners to become podcast producers can also be seen in the emergence of new podcasting genres. Serial, for example, has inspired a new genre of audio crime fiction, while WTF with Marc Maron has led to a slew of comedian-hosted interview podcasts characterized by an intimate, confessional tone. The huge range of podcast genres, alongside the broad spectrum of production quality, means that podcasts remain a multifaceted medium—and the scholarship about them is similarly multifaceted. Media studies scholars are interested in questions of what defines podcasting and whether a move away from RSS technology to platform-exclusive shows is signaling the end of the medium’s golden age, whereas those looking at podcast genres are more interested in exploring how podcasting has generated a space for new forms of sound-based storytelling. While the most robust field of podcast scholarship focuses on the use of podcasts for pedagogy, scholars have also begun to theorize podcasting through the act of producing podcasts themselves. The incorporation of podcasting into the landscape of scholarly communication points to how the study of podcasting has the potential to transform not just what scholars study but also how scholars do their work.

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,006
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies, Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,420
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,006
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,003
Études des sciences et des technologies0,0010,002
Communication savante0,0000,001
Science ouverte0,0020,001
Intégrité de la recherche0,0010,004
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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.

Tête enseignante Opus0,110
Tête enseignante GPT0,428
Écart entre enseignants0,317 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle