The Algorithm

Author:

Guldi Jo1

Affiliation:

1. Southern Methodist University , US

Abstract

Abstract Can statistics help historians to identify the events that are most distinctive of a particular era of time? This essay explores the use of a distinctiveness algorithm from library science for measuring the distinctiveness of manuscripts, tf-idf, recast as "tf-ipf" for the study of the terms most distinctive of historical periods. In a case study, tf-ipf is applied to the text of Hansard's Parliamentary Debates, varying the "period" from a 20-year horizon to a 6-month or one-day horizon. It is shown that the algorithm's assessments of what is most distinctive of 20-year and 10-year periods largely matches the consensus of British historians, while debates that held parliament's attention for six months or fewer have largely fallen beneath the threshold of scholarly attention. Attending to concerns that took up parliamentary debate for six months or fewer, the essay argues that tf-ipf thus presents a metric of parliamentary attention that mirrors the exclusions of class, allowing scholars to retrieve a timeline of when the concerns of the distillers, bleachers, dyers, Chartists, crofters, and miners reached a national debate. More generally, tf-ipf represents an important new tool for discovering the distinctive aspects of historical periods based on past experience, not historical bias.

Publisher

Oxford University Press (OUP)

Subject

Museology,Archeology,History

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3