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Record W3195989371 · doi:10.1386/jfs_00027_1

Corporate fandom: Re-creating media fans as a public

2020· article· en· W3195989371 on OpenAlexaff
Jessica Bay

Bibliographic record

VenueThe Journal of Fandom Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsToronto Metropolitan UniversityYork University
Fundersnot available
KeywordsFandomMainstreamSituatedPublicsMedia studiesTransformative learningPower (physics)SociologyMedia consumptionConsumption (sociology)Political sciencePublic relationsAdvertisingPoliticsSocial scienceBusinessLaw

Abstract

fetched live from OpenAlex

Using Michael Warner’s () conception of publics and counterpublics, we can see that historically much of fandom was situated in the position of counterpublic as fans not only were placed on the outskirts by others but also actively participated in acts that ran counter to the mainstream reading and consumption of media content. Current media fans of popular American franchises, however, are often courted by corporations and those with the power to influence the mainstream. There is an interest in the types of transformative practices in which fans engage. In actively seeking these audience members and their practices, corporations are forcing these groups into a more public position while helping to shift the types of activities that are considered part of fandom. Essentially, by bringing ‘desirable’ and ‘affirmational’ media fans into the mainstream, corporations are reorganizing them as publics in terms of their position within society, and this shift could contribute to a change in what it means to be a media fan.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.001
Science and technology studies0.0120.020
Scholarly communication0.0150.013
Open science0.0010.010
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.205
GPT teacher head0.357
Teacher spread0.152 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations2
Published2020
Admission routes1
Has abstractyes

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