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Record W2993426151 · doi:10.1177/2056305119898779

The Beguiling: Glamour in/as Platformed Cultural Production

2020· article· en· W2993426151 on OpenAlex
Alison Hearn, Sarah Banet‐Weiser

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

VenueSocial Media + Society · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsWestern University
Fundersnot available
KeywordsFeminismTransformative learningAestheticsAmbivalenceSociologyPopular cultureProduction (economics)Power (physics)The ImaginaryOrder (exchange)PoliticsSimplicityEpistemologyPsychologySocial psychologyMedia studiesArtPolitical scienceGender studiesPhilosophyLawEconomicsPsychoanalysis

Abstract

fetched live from OpenAlex

Arguing that questions of power expressed through aesthetic form are too often left out of current approaches to digital culture, this article revives the modernist aesthetic category of glamour in order to analyze contemporary forms of platformed cultural production. Through a case study of popular feminism, the article traces the ways in which glamour, defined as a beguiling affective force linked to promotional capitalist logics, suffuses digital content, metrics, and platforms. From the formal aesthetic codes of the ubiquitous beauty and lifestyle Instagram feeds that perpetuate the beguiling promise of popular feminism, to the enticing simplicity of online metrics and scores that promise transformative social connection and approbation, to the political economic drive for total information awareness and concomitant disciplining, predicting and optimizing of consumer-citizens, the article argues that the ambivalent aesthetic of glamour provides an apt descriptor and compelling heuristic for digital cultural production today.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
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 head0.079
GPT teacher head0.330
Teacher spread0.251 · 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