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Enregistrement W3175509351 · doi:10.1353/tj.2021.0054

The Seagull on the Sims 4 by Celine Song

2021· article· en· W3175509351 sur OpenAlexaboutno aff
Alisa Zhulina

Notice bibliographique

RevueTheatre Journal · 2021
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueSecurity, Politics, and Digital Transformation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMovie theaterArtIsolation (microbiology)RealmSoulLunaticContemplationArt historyUncannyPerformance artLiteratureHistoryAestheticsVisual artsPhilosophyPsychology

Résumé

récupéré en direct d'OpenAlex

Reviewed by: The Seagull on the Sims 4 by Celine Song Alisa Zhulina THE SEAGULL ON THE SIMS 4. Adapted from Anton Chekhov. Written and performed by Celine Song. New York Theatre Workshop, New York City. Livestreamed, October 27–28, 2020. The Russian writer and doctor Anton Chekhov lived a life marked by infectious diseases and health crises. Chekhov suffered and died from tuberculosis, an illness that reached epidemic levels in the nineteenth century, killing one in seven people. He regularly treated patients during cholera outbreaks. And his Uncle Vanya begins with Doctor Astrov describing the horrors of a typhus epidemic. It is not surprising then that in the COVID-19 era, many theatre artists have turned to Chekhov’s works. From audio broadcasts to Zoom readings, the Chekhovian leitmotifs of isolation, existential despair, and economic precarity resonate not as Russian soul clichés, but rather as the undeniable realities of a contingent and vulnerable world. The most successful of these works has been Canadian playwright Celine Song’s The Seagull on The Sims 4. Combining theatrical elements with video-game gimmicks, this experimental work answered Konstantin Treplev’s call for new forms. Song not only effectively captured Chekhov’s dramatic world in the virtual realm, but also fostered a sense of community, collaboration, and liveness at a time of isolation and social distancing. Her Seagull shows the path toward more accessible theatre (when I re-watched the archived production in early December, the first night’s performance had garnered over 11,000 views). Song’s achievement in remote theatre will no doubt continue to inspire digital performances for years to come. Described by the New York Theatre Workshop as a “durational installation art piece,” Song’s impressive adaptation transposed Chekhov’s comedy onto the digital platform of the popular life-simulation video game, The Sims. This is not the first time that a Chekhov play has been adapted in a video game. In June 2020, the Tovstonogov Bolshoi Drama Theater in St. Petersburg, Russia presented an abridged version of The Cherry Orchard in the online game Mine-craft, where actors voiced the avatars. Compared to that rushed version, The Seagull on The Sims 4 was a more absorbing and dynamic experience, even as it took almost six hours stretched over two evenings. What viewers saw when they tuned into Twitch TV was Song building the characters and world of The Seagull and then steering the plot. Since avatars in The Sims speak a fictional language (Simlish) and their dialogue cannot be programmed in advance, we did not get to hear Chekhov’s text. Instead, Song quoted the play’s famous sayings, commented on the actions of her avatars, and discussed every scene with us in great detail so that the show became a performance of our communal knowledge of Chekhov. Click for larger view View full resolution Celine Song in The Seagull on The Sims 4 (Treplev and Death). (Photo: Courtesy of New York Theatre Workshop.) Watching Song’s Seagull, I felt as though I was part of an artistic community at work on a theatre production. Audience members got to collaborate in the creative process through the chat function. Participants could chime in about almost every aspect of the show, from minute costume choices to larger questions of interpretation. Like Song herself, who frequently made perceptive remarks about The Seagull, most viewers knew Chekhov’s oeuvre inside and out, cracking theatre jokes and [End Page 227] offering both silly and sound dramaturgical advice. For example, when Song rotated the different attire options for Treplev’s avatar, the viewers chose black skinny jeans, a tight skull T-shirt, trendy rectangular glasses, and a well-cultivated goatee. Song speculated that Treplev was one of the first “Incels” (“involuntary celibates”), while one viewer imagined Treplev talking for hours about David Foster Wallace’s Infinite Jest. When Arkadina’s turn came, we debated whether a white or pink dress would look more garish. Selecting personality traits often led to debates. Is Treplev a genius or does he just want to be a successful writer? Part of the fun was hearing the different interpretations of the play, including those of playwrights Aleshea Harris...

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)0,000
score de la tête « metaresearch » (Gemma)0,001
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: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,153
Score d'incertitude au seuil0,512

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0020,001
Communication savante0,0030,002
Science ouverte0,0000,003
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,1530,040

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 Opus0,028
Tête enseignante GPT0,305
Écart entre enseignants0,277 · 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
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
Publié2021
Routes d'admission1
Résumé présentoui

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