{"title":"数据时代。理论思维、统计思维","authors":"Alexandre Gefen","doi":"10.1007/s11059-024-00743-y","DOIUrl":null,"url":null,"abstract":"<p>Contemporary experiments in Digital Humanities and distant reading tend to propose an empirical approach to literary facts. This development leads us to reflect on the place of quantitative analysis in literary theory, by asking whether data can replace literary theory in the age of Artificial Intelligence (AI)? By shifting from the status of emblematic fact to that of mere “noise” or statistical randomness in data, it is the entire theoretical conception of the literary work, supposedly individual and particular, that is called into question. This article attempts to reflect on these epistemological evolutions.</p>","PeriodicalId":54002,"journal":{"name":"NEOHELICON","volume":"34 1","pages":""},"PeriodicalIF":0.2000,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The time of data. theoretical thinking, statistical thinking\",\"authors\":\"Alexandre Gefen\",\"doi\":\"10.1007/s11059-024-00743-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Contemporary experiments in Digital Humanities and distant reading tend to propose an empirical approach to literary facts. This development leads us to reflect on the place of quantitative analysis in literary theory, by asking whether data can replace literary theory in the age of Artificial Intelligence (AI)? By shifting from the status of emblematic fact to that of mere “noise” or statistical randomness in data, it is the entire theoretical conception of the literary work, supposedly individual and particular, that is called into question. This article attempts to reflect on these epistemological evolutions.</p>\",\"PeriodicalId\":54002,\"journal\":{\"name\":\"NEOHELICON\",\"volume\":\"34 1\",\"pages\":\"\"},\"PeriodicalIF\":0.2000,\"publicationDate\":\"2024-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NEOHELICON\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s11059-024-00743-y\",\"RegionNum\":4,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"LITERATURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NEOHELICON","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s11059-024-00743-y","RegionNum":4,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"LITERATURE","Score":null,"Total":0}
The time of data. theoretical thinking, statistical thinking
Contemporary experiments in Digital Humanities and distant reading tend to propose an empirical approach to literary facts. This development leads us to reflect on the place of quantitative analysis in literary theory, by asking whether data can replace literary theory in the age of Artificial Intelligence (AI)? By shifting from the status of emblematic fact to that of mere “noise” or statistical randomness in data, it is the entire theoretical conception of the literary work, supposedly individual and particular, that is called into question. This article attempts to reflect on these epistemological evolutions.
期刊介绍:
Neohelicon welcomes studies on all aspects of comparative and world literature, critical theory and practice. In the discussion of literary historical topics (including literary movements, epochs, or regions), analytical contributions based on a solidly-anchored methodology are preferred.