Conversations with Scholars of American Popular Culture: Elizabeth Wissinger
Notice bibliographique
Résumé
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. …
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,003 | 0,005 |
| Études des sciences et des technologies | 0,016 | 0,015 |
| Communication savante | 0,010 | 0,018 |
| Science ouverte | 0,002 | 0,007 |
| Intégrité de la recherche | 0,005 | 0,013 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,011 | 0,003 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».