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Enregistrement W2092961807 · doi:10.1353/esc.2013.0036

Everybody Loves Imparfait: Academic Cultures of Imperfection

2013· article· en· W2092961807 sur OpenAlexvenueno aff
Cecily Devereux

Notice bibliographique

RevueEnglish studies in Canada · 2013
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueSouth Asian Cinema and Culture
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésArtLiteratureHistory

Résumé

récupéré en direct d'OpenAlex

WHEN TWENTY-TWO-YEAR-OLD JENNIFER LAWRENCE fell On her way up the steps of the Dolby Theatre in Los Angeles in February 2013 to accept the Best Actress Oscar, it must have seemed to many of the program's viewers as it did to those in my house that the moment, while it may not have been not absolutely ruined, was certainly compromised. The fall itself was such a little thing, and Lawrence was charming in her gracious and honest reaction. Nonetheless, the fall became forever a part of the moment, a little interruption, a small event in the category of things we never want to happen to us (falling down in front of millions of viewers on live television) mixed in with the big event in the category of things that seem as if they would be pretty nice (winning an Academy Award--or, for that matter, any award). It was, or seemed to be, an imperfection, a bad thing adversely affecting a good thing, a flaw, a blot. But Lawrence's fall also made for a curiously productive and interesting moment. In the hyperproduced and somewhat banal Academy Awards ceremony, it seemed oddly and importantly real. It was so evidently unscripted and so ordinary that it threw into relief the extraordinary weirdness that is the Oscars. It probably made lots of people feel sympathetic things. It made Lawrence kind of loveable, not least as she brought about a kind of symbolic tear in the screen, on whose refracted surface most of us who watch the Academy Awards watch them. Popular culture makes much of such moments of imperfection in celebrity culture. Tabloids celebrate them or, at any rate, delight in finding opportunities to expose what are touted as the imperfections behind the seeming perfection of celebrities' (and especially actresses') skin, hair, bodies, relationships, lives. Perhaps, given the culture of tabloid exposure of flaws, it is not surprising that imperfection is central to so much Hollywood cinema: Lawrence won her Oscar, after all, for her role in a film, Silver Linings Playbook, that is focused on what is typically represented as imperfection across a number of registers--mental health, economic self-sufficiency, adulthood, families, marriages, houses. The film's happy ending is itself arguably imperfect: only a moment between the realities of unemployment, institutionalization, debilitating meds, and scabby ceilings. The short papers in this forum were presented at ACCUTE'S conference at the University of Victoria, 1-4 June 2013. Speakers in the panel were asked to think about imperfection with reference to the following questions: * What constitutes imperfection? How relative is its assessment? How do we recognize it? Define it? Measure it? * What are the politics of perfection? What does it mean to aspire to perfection? Or, for that matter, to aspire to imperfection? * How can perfection operate as a standard--in the arts? in everyday life? How much do aesthetics come into play in our assessment and valuing of perfection? * How do we engage with ideas of perfection in cultural representations such as reality television? To what impulses are such representations--of perfect homes, dates, bodies, wedding dresses--addressed? What does a critique of these ideas of perfection look like? * How do academics engage with, resist, or embrace imperfection? Is academic work in fact characterized by perfectionism, in writing, editing, presenting? How much too much do we do toward perfection? How do we deal with imperfection? * How much do we revert to and inhabit the imperfect tense, an index of what is never finished, always in process? * How do we represent the things that militate against perfection: illness, grief, travel, family responsibilities, power failures, lost files, missed texts, books we can't get, archives we can't visit, funding shortfalls, competition, filling out forms, applying for everything, trying to get the computer to work, making mistakes? …

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,500
Score d'incertitude au seuil0,888

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,025
Tête enseignante GPT0,256
Écart entre enseignants0,232 · 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 tête enseignante, 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
Publié2013
Routes d'admission1
Résumé présentoui

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