東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Demography of Literary Form: Probabi...

Duke University., Literature.

Linked to FindBook

Google Book

Amazon

博客來

Demography of Literary Form: Probabilistic Models for Literary History.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Demography of Literary Form: Probabilistic Models for Literary History./
Author:	Riddell, Allen Beye.
Description:	159 p.
Notes:	Source: Dissertation Abstracts International, Volume: 74-08(E), Section: A.
Contained By:	Dissertation Abstracts International74-08A(E).
Subject:	Literature, General. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3558794
ISBN:	9781303033735

Demography of Literary Form: Probabilistic Models for Literary History.
Riddell, Allen Beye.

Demography of Literary Form: Probabilistic Models for Literary History. - 159 p.

Source: Dissertation Abstracts International, Volume: 74-08(E), Section: A.

Thesis (Ph.D.)--Duke University, 2013.

Digitization of library collections has made millions of books, newspapers, and academic journal articles accessible. These resources present an opportunity for historians interested in identifying patterns in cultural production that emerge over the space of decades or even centuries. For example, considerable interest has been expressed in studying the emergence, decline, and transmission across national and linguistic boundaries of literary form in the tens of thousands of novels published in Europe in the eighteenth and nineteenth centuries. Navigating such a large collection of texts, however, requires the use of quantitative methods rarely used in literary studies; the single, direct reading of even a thousand texts exceeds the time and resources available to most historians.

ISBN: 9781303033735Subjects--Topical Terms:

1018152
Literature, General.

Demography of Literary Form: Probabilistic Models for Literary History.
LDR:02978nam a2200301 4500 001 1965013
005 20141010092953.5
008 150210s2013 ||||||||||||||||| ||eng d
020 $a 9781303033735
035 $a (MiAaPQ)AAI3558794
035 $a AAI3558794
040 $a MiAaPQ $c MiAaPQ
100 1 $a Riddell, Allen Beye. $3 2101538
245 1 0 $a Demography of Literary Form: Probabilistic Models for Literary History.
300 $a 159 p.
500 $a Source: Dissertation Abstracts International, Volume: 74-08(E), Section: A.
500 $a Adviser: Katherine Hayles.
502 $a Thesis (Ph.D.)--Duke University, 2013.
520 $a Digitization of library collections has made millions of books, newspapers, and academic journal articles accessible. These resources present an opportunity for historians interested in identifying patterns in cultural production that emerge over the space of decades or even centuries. For example, considerable interest has been expressed in studying the emergence, decline, and transmission across national and linguistic boundaries of literary form in the tens of thousands of novels published in Europe in the eighteenth and nineteenth centuries. Navigating such a large collection of texts, however, requires the use of quantitative methods rarely used in literary studies; the single, direct reading of even a thousand texts exceeds the time and resources available to most historians.
520 $a This dissertation demonstrates the application of probabilistic model of texts in the study of literary history. The major finding of the dissertation is that regularities previously identified by literary historians can be captured by probabilistic models. Following the first chapter, "How to Read 22,198 Journal Articles: Studying the History of German Studies Using Topic Models," which introduces representations of texts used in the dissertation, chapter 3, "Inferring Novelistic Genre in the English Novel, 1800-1836," and chapter 4, "Networks of Literary Production," illustrate the contribution probabilistic models of novelistic production are positioned to make to long-standing questions in literary history. Both chapters are concerned with the detection and description of empirical regularities in surviving nineteenth-century English novels, such as the recurrence of novelistic genres---e.g., gothic, silver fork, and national tale novels. Chapter 3 makes use of a corpus that includes a random sample of novels published in the British Isles between 1800 and 1836. The use of a random sample and of probabilistic methods, both uncommon in literary studies, serves to develop new conceptual resources for future work in literary history and the sociology of literature.
590 $a School code: 0066.
650 4 $a Literature, General. $3 1018152
650 4 $a Sociology, General. $3 1017541
650 4 $a History, General. $3 1017448
690 $a 0401
690 $a 0626
690 $a 0578
710 2 $a Duke University. $b Literature. $3 1022938
773 0 $t Dissertation Abstracts International $g 74-08A(E).
790 $a 0066
791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3558794