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Record W4365143014 · doi:10.5210/spir.v2022i0.12955

RESONANCE, REVERBERATION, AND RHYTHMS: CONCEPTUALIZING VIBRATORY POWER IN DIGITAL MEDIA

2023· article· en· W4365143014 on OpenAlexaff
Andrew Herman, Katie Moylan, Annette Markham, Holly Kruse

Bibliographic record

VenueAoIR Selected Papers of Internet Research · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicRadio, Podcasts, and Digital Media
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsAffordanceSociologyDigital mediaPower (physics)Social mediaComputer scienceHuman–computer interactionWorld Wide Web

Abstract

fetched live from OpenAlex

This panel explores the theories, concepts, and methodologies appropriate to the exploration of the “vibratory power” of transduction where sound and other digitally mediated forms of reverberation conjure affective and corporeal bonds of resonance and solidarity. The first three papers engage in a critical interrogation of sound as epistemology and ontologies in digital networked media, with a focus on streaming internet radio. More specifically, these papers examine diverse uses and experiences of streaming ‘radio’ and its deployments for community-building, emotional sustenance, and an online reconstitution of place. In their explorations, these papers consider which methodologies are appropriate and useful to examine the affordances of streaming radio, enabling in turn analysis of informing ideas of ‘community’, intimacy, territorialization/deterritorialization, and questions of what comprises ‘radioness’ itself. Is radio still radio if it is online? What happens to the "community" that is conjured into being by terrestrial broadcast radio when the "station" is internet only?’ What does thinking from place mean when the tangibility of place is physically transcended and thus broken up and reconstituted as elements of locality, of community? The fourth and final power transposes the “perspective of frequency, force and affective tone” in transduction to the wider field of social media practices during the early stages of COVID. In this paper, the obsessive-compulsive ritual of “doomscrolling” becomes the practice through which rhythms of resonance and reverberation become imprinted upon the flows of everyday life through the transductive modulations of digital networked media.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score0.695

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
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 head0.044
GPT teacher head0.347
Teacher spread0.303 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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