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Record W4387217094 · doi:10.1177/26317877231204085

How Relational Publics Become Scandal Audiences: Values and the construction of scandal

2023· article· en· W4387217094 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.

Bibliographic record

VenueOrganization Theory · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Relations and Crisis Communication
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPublicsExtant taxonPolitical scienceSociologyPublic relationsSocial mediaProcess (computing)Control (management)LawManagement

Abstract

fetched live from OpenAlex

We are interested in examining the process of scandal creation through the lens of the audience. Extant work tends to address either the effects of organizational scandal, or the role of the media and social control agents in scandal creation, neglecting the audience. To address this gap, we draw on the sociological concept of the relational public to explore how individual or small group assessments become widely held social evaluations among scandal audiences. We develop a three-stage model of organizational scandal creation: first, scandal entrepreneurs and the media frame an organization’s behavior as transgressive to media consumers who react within the relational publics they constitute; next, members of those relational publics judge the act in light of their values; finally, as relational publics spread their judgment to adjacent groups, they aggregate and assemble into a scandal audience, activating the scandal. Our model adds to media-centered theories of scandal construction by highlighting the role of heterogeneous audiences and their values, building a nuanced understanding of the process of social evaluation in scandal creation.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.188
Threshold uncertainty score0.764

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
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 head0.014
GPT teacher head0.257
Teacher spread0.242 · 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