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Record W4281757092 · doi:10.1177/13548565221104444

What is a podcast? Considering innovations in podcasting through the six-tensions framework

2022· article· en· W4281757092 on OpenAlex
Jemily Rime, Chris Pike, Tom Collins

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueConvergence The International Journal of Research into New Media Technologies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicRadio, Podcasts, and Digital Media
Canadian institutionsBC Research (Canada)
FundersArts and Humanities Research Council
KeywordsBoosting (machine learning)Reflection (computer programming)Computer scienceSociologyCentringEngineering ethicsEngineeringArtificial intelligenceVisual artsArt

Abstract

fetched live from OpenAlex

This essay addresses two questions on the topic of podcast innovation. The first, ‘What is a podcast?’ is answered via a review of the literature, investigating podcasting history and its evolution. The definition of podcasting arising from this analysis – centring on episodic audio, convenient both to produce and experience – takes into account recent changes, providing an up-to-date description of the term, useful for further research on the topic. It is also required to answer our second question: ‘How do we design new ways to produce and listen to podcasts without denaturing the medium?’ By reflecting on the essential features of podcasting and the necessity for innovation in this interdisciplinary medium, a framework of six-tensions is proposed as a means of grounding and potentially boosting innovation. Answering these questions could prove valuable for the future of podcasting, hypothesising a basis for reflection and development in both academia and industry.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.029
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.546
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0040.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.181
GPT teacher head0.436
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it