LEADER 03698nam 2200613 450 001 9910827645903321 005 20230217180923.0 010 $a1-5036-3391-8 024 7 $a10.1515/9781503633919 035 $a(CKB)5600000000485089 035 $a(MiAaPQ)EBC29972962 035 $a(Au-PeEL)EBL29972962 035 $a(DE-B1597)632974 035 $a(DE-B1597)9781503633919 035 $a(OCoLC)1350571417 035 $a(EXLCZ)995600000000485089 100 $a20230203d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLiterary mathematics $equantitative theory for textual studies /$fMichael Gavin 205 $a1st ed. 210 1$aStanford, California :$cStanford University Press,$d[2023] 210 4$dİ2023 215 $a1 online resource (282 pages) 225 1 $aStanford text technologies 311 $a1-5036-3282-2 320 $aIncludes bibliographical references and index. 327 $tFrontmatter --$tCONTENTS --$tACKNOWLEDGMENTS --$tINTRODUCTION: THE CORPUS AS AN OBJECT OF STUDY --$tCHAPTER 1. NETWORKS AND THE STUDY OF BIBLIOGRAPHICAL METADATA --$tCHAPTER 2. THE COMPUTATION OF MEANING --$tCHAPTER 3. CONCEPTUAL TOPOGRAPHY --$tCHAPTER 4. PRINCIPLES OF LITERARY MATHEMATICS --$tCONCLUSION: SIMILAR WORDS TEND TO APPEAR IN DOCUMENTS WITH SIMILAR METADATA --$tNOTES --$tBIBLIOGRAPHY --$tINDEX 330 $aAcross the humanities and social sciences, scholars increasingly use quantitative methods to study textual data. Considered together, this research represents an extraordinary event in the long history of textuality. More or less all at once, the corpus has emerged as a major genre of cultural and scientific knowledge. In Literary Mathematics, Michael Gavin grapples with this development, describing how quantitative methods for the study of textual data offer powerful tools for historical inquiry and sometimes unexpected perspectives on theoretical issues of concern to literary studies. Student-friendly and accessible, the book advances this argument through case studies drawn from the Early English Books Online corpus. Gavin shows how a copublication network of printers and authors reveals an uncannily accurate picture of historical periodization; that a vector-space semantic model parses historical concepts in incredibly fine detail; and that a geospatial analysis of early modern discourse offers a surprising panoramic glimpse into the period's notion of world geography. Across these case studies, Gavin challenges readers to consider why corpus-based methods work so effectively and asks whether the successes of formal modeling ought to inspire humanists to reconsider fundamental theoretical assumptions about textuality and meaning. As Gavin reveals, by embracing the expressive power of mathematics, scholars can add new dimensions to digital humanities research and find new connections with the social sciences. 410 0$aText technologies. 606 $aDigital humanities 606 $aQuantitative research 610 $acorpus linguistics. 610 $acultural analytics. 610 $adigital humanities. 610 $adistributional semantics. 610 $ageographical text analysis. 610 $ahistory. 610 $aliterature. 610 $anetworks. 615 0$aDigital humanities. 615 0$aQuantitative research. 676 $a001.30285 700 $aGavin$b Michael$01638675 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910827645903321 996 $aLiterary mathematics$93981250 997 $aUNINA