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Enregistrement W2805518549

Twenty-first century television horror's terrible places: a roundtable discussion

2017· article· en· W2805518549 sur OpenAlexaboutno aff
Lorna Jowett, Stacey Abbott, Rebecca Janicker

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueGothic Literature and Media Analysis
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésTheme (computing)NarrativeStorytellingFranchiseMovie theaterTelevision seriesHistoryArtMedia studiesVisual artsAdvertisingLiteratureSociologyComputer scienceWorld Wide Web
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The ongoing boom in TV Horror coincides not only with the expansion of TV markets but also with new innovations in delivery platforms, viewing habits, and modes of engagement. In this round table the panellists will initially analyse how three particular examples of TV horror find their home in this new TV landscape by innovating in terms of form and format, before moving on to more general debate about how horror positions itself on television and what might count as TV horror in 2017. In October 2011, a program entitled simply American Horror Story hit the small screen for the first time. Rebecca Janicker sketches out how series co-creators Ryan Murphy and Brad Falchuk were quick to develop a fecund concept into a horror anthology franchise which now comprises six series dedicated to a diverse array of gruesome and shocking scenarios, situated in particular temporal and geographic settings. AHS appeared in what Jason Mittell has described as a growth era for TV and the show’s novel approach to storytelling has served to distinguish it from other horror narratives. AHS combines the mini-series model of a finite run of episodes that culminates in final narrative closure with the traditional TV model of weekly instalments on FX. Unity of theme renders each season a distinct ‘text’ and it is this feature, along with the celebrated recycling of actors, that marks American Horror Story out as a new format for TV horror: an anthology franchise rather than an anthology series. On-Demand streaming service Netflix has fast become a prime site of ‘television’ production and distribution globally, while simultaneously calling into question the nature of TV. Stacey Abbott will identify the ways in which Netflix production Santa Clarita Diet (2017-), an innovative horror-comedy hybrid, transforms and, arguably, undercuts the ubiquitous zombie sub-genre by adapting it to the suburban sit-com format. The series follows Sheila (Drew Barrymore) and Joel Hammond (Tim Olyphant), suburban realtors based in Santa Clarita, California, as they discover that Sheila has become a zombie, with the requisite taste for flesh and blood, as well as an increasingly voracious sex drive but also the desire to maintain her ‘happy’ home. While this is a call out to Golden Age supernatural sitcoms such as The Munsters (1964-66) and The Addams Family (1964-66), its place on Netflix allows it to function fully as horror, and the series' repeated scenes of graphic body horror tip gross out comedy into full on horror. This Netflix production offers an engaging opportunity to consider how the changing nature of television and a burgeoning landscape of new streaming platforms impact upon the presence and evolution of horror for the small screen. Moving even further away from the traditional television series format, Lorna Jowett briefly examines key characteristics of Canadian web series Carmilla (2014-). With three 36-episode seasons (and a season zero), inter-seasonal content, over 35 million YouTube views, and a movie on the horizon, Carmilla is a highly successful digital adaptation or reimagining of Sheridan Le Fanu's 1872 novella that demonstrates the flexibility of horror or Gothic tropes. The web series also taps into new technologies and new media forms by presenting the narrative as the vlog of university student Laura, and much of its innovation comes from the restrictions of this format. Carmilla unsettles both the notion of the horror monster and the genre convention of the terrible place by repositioning the story and the characters: the contemporary campus culture of the updated setting inflects how the characters--who are almost all non-binary/non-heteronormative in this version--operate within the story. Having offered a snapshot of the changing face of TV horror through these case studies, the panel will expand the debate and address a range of questions, seeking to unpack how a new broadcast landscape affords new 'terrible places' for horror to evolve. Has television become the new home of innovation in horror? What opportunities does television and its various forms and formats offer to horror? Given the centrality of space to horror/Gothic, in what ways does TV horror negotiate this geography? How does the emphasis on characterization found in so-called 'quality TV' impact on horror and its spaces? How do the chosen case studies take advantage of being TV Horror now that television frequently overflows its boundaries to become 'spreadable media'? How do audiences and fans enter and experience TV horror's terrible places? In what ways is the traditional gendering of the horror genre challenged by the boom in horror on TV, historically a domestic media? In debating these questions and areas the round table aims to, at least partly, map the new spaces, terrible and otherwise, that TV Horror has invaded, infected or (re)imagined.

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)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies, Communication savante, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,781
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0030,000
Communication savante0,0020,002
Science ouverte0,0010,000
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 Opus0,020
Tête enseignante GPT0,310
Écart entre enseignants0,290 · 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.

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
Publié2017
Routes d'admission1
Résumé présentoui

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