编码文化:对比文化数据库的挑战和建议
Edward Slingerland1, Quentin D Atkinson2, Carol R Ember3
1Department of Asian Studies, University of British Columbia, Vancouver, Canada.
Evolutionary human sciences
|August 17, 2023
概括
将自然科学模型应用于数字文化数据,提高了对文化演变的理解. 未来的进步需要改善数据收集,组织和分析的标准,以克服独特的挑战.
科学领域:
- 文化进化 文化进化
- 数字人文学科 数字人文学科
- 计算社会科学 计算社会科学
背景情况:
- 自然科学的严格模型越来越多地应用于文化数据.
- 数字平台有助于获取历史和民族学信息.
- 这种方法澄清了关于人口起源,宗教作用和语言多样性的辩论.
研究的目的:
- 确定阻碍建设文化历史大型比较数据库进展的挑战.
- 为应对这些挑战提出实际指导方针.
主要方法:
- 审查文化数据收集,组织和分析方面的挑战.
- 确定关键问题,包括理论框架,分析单元,数据收集,专家参与,编码可靠性和数据库可持续性.
主要成果:
- 文化进化动态的进展是显著的,但面临着独特的数据挑战.
- 关键的挑战包括理论整合,适当的分析单元,采样,专家买入,可复制编码和数据库互操作性.
结论:
- 改进和广泛采用数据收集,组织和分析的标准至关重要.
- 提出了实际指导方针,以提高文化历史数据库的构建和实用性.
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