Historical Methods

期刊简介：Historical Methods reaches an international audience of historians and other social scientists concerned with history. It explores the development of new data sources, new methods to investigate older questions and material, and practical discussions of computational, spatial and statistical methodologies. Articles published in Historical Methods are often intended to offer insights on a new source of historical data with analysis of how others can emulate the methodological innovations with similar data. In addition to its longtime interest in quantitative approaches to historical questions, Historical Methods also encourages submission of articles which address innovative methods developed in the digital humanities. We invite submission of full-length articles which are approximately 7,000 to 10,000 words of text (not including reference list, footnotes, tables & figures and any supplements). We prefer to receive fully developed articles rather than research notes. Manuscripts need to focus on historical methods; we do not publish research articles that use established computational, spatial and statistical methods. The mission of Historical Methods is to unpack the “black box” of materials and methods used in social science history and digital history. For replicability, authors should include code in the supplemental files not for review and we strongly encourage authors to provide access to data underlying their project in open data repositories, and to provide a link to these data. Peer Review Policy: All articles have undergone anonymous double anonymized review. Publication office: Taylor & Francis, Inc., 530 Walnut Street, Suite 850, Philadelphia, PA 19106.

【译文】历史方法吸引了国际受众，包括历史学家和其他关注历史的社会科学家。它探讨了新数据源的开发、研究旧问题和材料的新方法，以及计算、空间和统计方法的实际讨论。 《历史方法》中发表的文章通常旨在提供对新历史数据来源的见解，并分析其他人如何使用类似数据来模仿方法创新。除了长期以来对历史问题的定量方法感兴趣之外，历史方法还鼓励提交涉及数字人文中开发的创新方法的文章。我们邀请提交约 7,000 至 10,000 字的全文文章（不包括参考文献列表、脚注、表格和图表以及任何补充）。我们更喜欢收到完全成熟的文章而不是研究笔记。手稿需要注重历史方法；我们不发表使用既定计算、空间和统计方法的研究文章。历史方法的使命是解开社会科学史和数字历史中使用的材料和方法的“黑匣子”。为了可复制性，作者应在补充文件中包含不用于审查的代码，我们强烈鼓励作者在开放数据存储库中提供对其项目底层数据的访问，并提供这些数据的链接。同行评审政策：所有文章均经过匿名双重匿名评审。出版办公室：Taylor & Francis, Inc., 530 Walnut Street, Suite 850, Philadelphia, PA 19106。