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Enregistrement W6925408556 · doi:10.18130/ha4t-pn57

Doing Drag, Doing Community: The lives of working drag artists in the era of mainstream visibility

2023· article· en· W6925408556 sur OpenAlexaboutno aff

Notice bibliographique

RevueLibra · 2023
Typearticle
Langueen
DomaineComputer Science
ThématiqueComputer Science and Engineering
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésDragMainstreamEthnographyLift-induced dragPoliticsZero-lift drag coefficientVisibilityDrag equation

Résumé

récupéré en direct d'OpenAlex

This dissertation project spans a cumulative 5 years' (2018-2022) worth of ethnographic research on local drag communities in the United States. This hybrid digital/analog (in-person) ethnography makes use of interviews with 38 drag performers across the US and Canada, participant observation at over 100 drag shows (both in-person and online) and thematic digital discourse analysis to understand the lives of working drag artists as drag continues to garner attention from mainstream media. Comprised of three papers that are meant to stand on their own individually, the chapters of this dissertation, when taken collectively, paint a picture of the state of the lives of working drag artists navigating a rapidly changing artistic field. Article 1, “Mainstream Novelty” uses preliminary fieldwork conducted in 2018 and examines the impact of mainstream visibility on local drag immediately following the transition of RuPaul's Drag Race from Logo to Vh1. In this piece, I argue that there is a feedback loop between local drag and RuPaul's Drag Race. Specifically, RuPaul's Drag Race, as a broader drag public, has a heavy hand in dictating the standards and audience expectations for local drag performers. Largely, this amounts to a general perception that local drag is “subpar” to whatever is shown on RuPaul's Drag Race, and that local entertainers are held to the same (unrealistic) standards that are placed on the show's contestants. Simultaneously, however, I show that local drag is not entirely powerless in this configuration. I conclude the chapter by arguing that, with recent community pushback against some the hegemony baked into RuPaul's Drag Race, there is evidence of continual changes in the relationship between local and mainstream drag. Article 2, “Cybernetic Drag” explores the impact of the COVID-19 pandemic on drag performers, as working artists, in the United States. By examining the ways in which drag performers leveraged technology to both sustain and innovate their art, this paper extends scholarly work on the tensions between art, the body, and technology, as well as classic debates concerning artistic aura and the presumed superiority of live performance. In the paper, I show how drag performance shifted radically and rapidly during the COVID-19 pandemic. Some performers took to the internet and used digital tools, transforming the aesthetic possibilities of an already expansive art form. Others took a creative approach in maintaining in-person or “analog” performance, highlighting the important role that community embeddedness plays in the creation of fulfilling drag performances for working artists. I argue that the changes brought on by the pandemic allowed for an expansive reimagining of the drag artworld in terms of aesthetics and embodiment, the boundaries of drag’s live aura, and how local drag “does” community. Article 3, “(Networked) Drag Counterpublics” connects the earlier two pieces and examines the changing relationship between local drag and RuPaul's Drag Race as a broader drag public. I argue that success through RuPaul's Drag Race is becoming more closely aligned with Hollywood careers and, as a result, is growing increasingly distant from local drag. Further, with the rapid and drastic proliferation of RuPaul's Drag Race seasons produced at a given time, the prestige that comes with getting cast on the show lessens. As a result, local drag is gaining increasing autonomy from the stronghold that RuPaul's Drag Race had in shaping local drag dynamics during the show's early VH1 era (2018-19), as I detail in article 1. Conversely, however, the inequalities that plague RuPaul's Drag Race—many of which map onto broader social inequalities too—continue to replicated on the local level, though with increasing community awareness and critique. Finally, a broader sociohistorical shift foregrounding equity through restorative justice and accountability(i.e., MeToo and the resurgence of Black Lives Matter) afforded drag communities an opportunity to critically examine local inequalities. Local drag scenes were thus able to more deliberately shape equity standards within their communities and, with increasingly digitally networked communication due to COVID, they were also able to see how other drag communities were responding to the same issues.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,041
Score d'incertitude au seuil0,081

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,004
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0280,025
Communication savante0,0130,009
Science ouverte0,0020,012
Intégrité de la recherche0,0020,005
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,023
Tête enseignante GPT0,237
Écart entre enseignants0,214 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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