Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource On Artificial and Post- artificial Texts: Machine Learning and the Reader’s Expectations of Literary and Non-literary Writing Description An account of the resource The text shows what has been lost: The assumption written words are of human origin. Yet it also shows how this might be a chance to return to a reading without regard to origin. Creator An entity primarily responsible for making the resource Hannes Bajohr Source A related resource from which the described resource is derived https://read.dukeupress.edu/poetics-today/article-abstract/45/2/331/387709/On-Artificial-and-Post-artificial-Texts-Machine?redirectedFrom=fulltext Publisher An entity responsible for making the resource available Poetics Today Date A point or period of time associated with an event in the lifecycle of the resource 2024 Contributor An entity responsible for making contributions to the resource Anonymous