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Enregistrement W2591563922

Conversations with Scholars of American Popular Culture: Elizabeth Wissinger

2016· article· en· W2591563922 sur OpenAlexaboutno aff
Elizabeth Wissinger

Notice bibliographique

RevueAmericana : The Journal of American Popular Culture, 1900 to Present; Hollywood · 2016
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueFashion and Cultural Textiles
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSociologyMedia studiesPower (physics)Popular cultureSocial mediaFashion designGender studiesClothingPolitical scienceLaw
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Elizabeth Wissinger is a Professor at the City University of New York Graduate School and Center, as well as BMCC, where she teaches Fashion Studies and Sociology. Her research focuses on technology, fashion, and embodiment. Professor Wissinger has lectured on topics related to gender and race, media, bodies, labor, and fashion in the US, Canada, Australia, and Europe. She is also the co-author of the edited volume, Fashioning Models: Image, Text, and Industry (Berg, 2012) with Joanne Entwistle. Her research has earned several grants and awards, including Mellon Fellowships in both the Humanities and Science Studies. Her current research takes up the issue of how wearable technology genders bodies.We discussed her new book This Year's Model: Fashion, Media, and the Making of Glamour (New York University Press, 2015).------------What drew you to the study of fashion?Fashion is a power structure that organizes so many aspects of life in need of analysis: patriarchy, feminist issues, embodiment, labor issues, globalization, and social justice. I had been exposed to the world in my early years in NYC, and during my graduate training I became fascinated by the notion that fashion studies was a field.As I note in the book, the proliferation of selfie-obsessed, #nofilter culture, the pressure for ordinary people to try to be fashionable has been spreading beyond young girls duckfacing in the bathroom. Fashion has become a lifestyle for so many, I wanted to know more about why.When people copy Kim K’s selfie for example, they are driving an image economy, but who profits? Facebook and Instagram. The fun of it all lures us into selling ourselves. Tweeting about or posting one’s latest physical accomplishments, posting a selfie of one’s newly enhanced butt, slimmed waist, or latest outfit pulls one’s bodily potential and connectivity into metering and regulation an availability that facilitates capital’s constant expansion. At the same time, the very act of posting, puts one’s quotient on the line, rising and falling by the metrics of likes, hearts, influence scores, and views. Keeping the quotient high becomes a sort of compulsion, the labor to stay visible and relevant - to matter.What inspired you to write this book?I was interested in issues surrounding women’s power and came to realize that having lived as part of the New York fashion scene as a young woman gave me a unique perspective on the most iconic figures of this world: fashion models. Whether you hate to love them, or love to hate them, fashion models are a key element of popular culture. Their work is embroiled in debates about controversial bodily ideals.They are at the center of struggles for social power and acceptance, and they figure prominently in conflicts between men and women. Needless to say, fashion modeling is a hot topic that pushes many buttons.For all its glamour, modeling’s dark underbelly has been well documented. For instance, you may have seen Girl Model - a documentary about scouting for teen girls in Siberia, and the deplorable conditions they sometimes find themselves in in Japan - or J’Amais Assez Maigre - French model Victoire Dauxerre’s account of her struggle to keep her health and sanity while working as a model. Debates center on whether images of skinny models cause eating disorders or damage young girls’ self esteem. This conflict has been ongoing since the 1970s, which is significant as I discuss in my book.What is glamour labor?Glamour labor is a phenomenon of the internet age. I hit on the idea of labor when trying to explain modeling work. A key process in modeling is constructing one’s “look.” The model “look” comprises the model’s appearance in person, and all the images in which the model has appeared. The “look” marries the physical body and the virtual self into one and was helpful in understanding the idea of affective labor, which drew me to study models. …

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)0,006
score de la tête « metaresearch » (Gemma)0,011
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,016
Score d'incertitude au seuil0,037

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,011
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0030,005
Études des sciences et des technologies0,0160,015
Communication savante0,0100,018
Science ouverte0,0020,007
Intégrité de la recherche0,0050,013
Charge utile insuffisante (le modèle a refusé de juger)0,0110,003

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 Opus0,022
Tête enseignante GPT0,256
Écart entre enseignants0,234 · 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'étudeSans objet
Domainenon disponible
GenreAutre

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
Publié2016
Routes d'admission1
Résumé présentoui

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Même revueAmericana : The Journal of American Popular Culture, 1900 to Present; HollywoodMême sujetFashion and Cultural TextilesTravaux en français237 207