Visualizing History's Fragments : A Computational Approach to Humanistic Research (2024)

個数:

Visualizing History's Fragments : A Computational Approach to Humanistic Research (2024)

  • オンデマンド(OD/POD)版です。キャンセルは承れません。
  • 【入荷遅延について】
    世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
    おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。
  • ◆画像の表紙や帯等は実物とは異なる場合があります。
  • ◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
    また、洋書販売価格は、ご注文確定時点での日本円価格となります。
    ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。
  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 345 p.
  • 言語 ENG
  • 商品コード 9783031469756

Full Description

This book combines a methodological guide with an extended case study to show how digital research methods can be used to explore how ethnicity, gender, and kinship shaped early modern Algerian society and politics. However, the approaches presented have applications far beyond this specific study. More broadly, these methods are relevant for those interested in identifying and studying relational data, demographics, politics, discourse, authorial bias, and social networks of both known and unnamed actors.

Ashley R. Sanders explores how digital research methods can be used to study archival specters - people who lived, breathed, and made their mark on history, but whose presence in the archives and extant documents remains limited, at best, if not altogether lost. Although digital tools cannot metaphorically resurrect the dead nor fill archival gaps, they can help us excavate the people-shaped outlines of those who might have filled these spaces.

The six methodological chapters explain why and how each research method is used, present the visual and quantitative results, and analyze them within the context of the historical case study. In addition, every dataset is available on SpringerLink as Electronic Supplementary Material (ESM), and each chapter is accompanied by one or more video tutorials that demonstrate how to apply each of the techniques described (accessed via the SN More Media App).

 

 

 

Contents

1. Getting Started.- 2. Understanding the Context.- 3. Detecting Bias in Textual Sources.- 4. Humanistic Data—Classifying Individuals & Visualizing Silences.- 5. Data Aggregation and Exploratory Visualization.- 6. Descriptive Statistics—Investigating Questions of Representativeness.- 7. Testing Relationships between Categorical Variables.- 8. Social Network Analysis—Identifying Women's Socio-Political Roles.- 9. Where do We Go from Here?

最近チェックした商品