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Record W4414421820 · doi:10.1080/1461670x.2025.2557967

Audio Journalism: An Epistemology of Bodily Engagements with Sounds

2025· article· en· W4414421820 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournalism Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicRadio, Podcasts, and Digital Media
Canadian institutionsUniversité du Québec à Montréal
FundersFonds de Recherche du Québec-Société et Culture
KeywordsPerspective (graphical)Representation (politics)PerceptionIdentity (music)Field (mathematics)Context (archaeology)

Abstract

fetched live from OpenAlex

This article highlights the critical role played by the body in audio journalistic epistemology. It focuses on the journalist's “audio body” and its deployment in the creation of documentary podcasts. Highly tuned to both the audible and the inaudible, this is a body at once central to the journalist's investigatory toolkit, at once responsible for the creation of powerful audio journalism that brings listeners into an intimate space with the subject at hand. Foregrounding the role of the body in the processes of audio journalism also highlights the importance of affect and time in journalistic sound-based montages. By way of illustration, three immersive sound pieces that document news production in a variety of media outlets are discussed. So too are the ways that the documentarist and author of this article was required to mobilize and subsequently reflect upon her own “audio body.”

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.382
Threshold uncertainty score0.711

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.062
GPT teacher head0.390
Teacher spread0.328 · 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