Chapter 1 The Digital Situation of Poetry
Notice bibliographique
Résumé
The Digital Situation of PoetryPoetry in the twenty-first century finds itself in a media-technological situation that is both new and not new.On the one hand, it is not new because technology and media have always been part of poetry's environment.On the other, the situation is new because digital technology and media have configured novel frameworks and situations for the production, distribution and reading of poetry.Poetry books might contain programming languages.Using computer code, Mez Breeze, for example, has created a new language, "mezangelle."Algorithms write poetic texts, as in the case of the poet Johannes Heldén and Håkan Jonson's Evolution (2014) or Karen ann Donnachie and Andy Simionato's The Library of Nonhuman Books (2019), an autonomous art installation where artificial intelligence is programmed to create new books from old publications.Jason Edward Lewis produces visual and tactile poetry as apps to be read on a single mobile medium, preferably with a touch screen, in his series of poems called P.o.E.M.M.: "Speak," "Know," "Migration," "Bastard," "Choice," "White" and "Death" (2007)(2008)(2009)(2010)(2011)(2012)(2013).Poetry travels between media with highly different technological and institutional affordances, i.e. between books, computers, theater scenes, performances and installation rooms.These new technological conditions of poetry have had a direct effect on poets' and readers' everyday lives as well as on literary institutions.In Canada and the USA, the career of Rupi Kaur has been a powerful illustration of such changes.Her success demonstrates the ways in which social media intervenes with the field of poetry.The story is well known: Kaur established herself as a popular poet on Instagram, with an overwhelming number of readers.Following this online success, she made her debut with the collection of poems Milk and Honey (2015), topping the New York Times bestseller list.This instant success would have been unlikely without Instagram and other influential social media.Similarly, social media has played an important role for new voices such as R.M. Drake, Atticus, Nayyirah Waheed, Lang Leav, Yrsa Daley-Ward and, though on a smaller scale in terms of followers and financial success, Sabina Store-Ashkari, Alexander Fallo and Trygve Skaug in Norway.Furthermore, in the digital era, sound poetry and poetry readings have expanded their fields of distribution and sites for performance, becoming at once more visible and audible.This phenomenon, in turn, has had an impact on poetry's appearance in physical rooms, on stages and in public and semi-public places.These shifts have not only been limited to poetry slams but have blossomed into widespread practices through which young and emerging poets have developed their own styles, as in the cases of Maren Kames, Amanda Gorman and Olivia
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 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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,007 | 0,010 |
| Communication savante | 0,012 | 0,010 |
| Science ouverte | 0,001 | 0,005 |
| Intégrité de la recherche | 0,002 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,047 | 0,008 |
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 ».