Research in 19th-century book history, sociology of literature, and quantitative literary history is blocked by the absence of a collection of novels which captures the diversity of literary production. We introduce a corpus of 75 Victorian novels sampled from a 15,322-record bibliography of novels published between 1837 and 1901 in the British Isles. This corpus, the Common Library, is distinctive in the following way: the shares of novels in the corpus associated with sociologically important subgroups match the shares in the broader population. For example, the proportion of novels written by women in 1880s in the corpus is approximately the same as in the population. Although we do not, in this particular paper, claim that the corpus is a representative sample in the familiar sense--a sample is representative if "characteristics of interest in the population can be estimated from the sample with a known degree of accuracy" (Lohr 2010, p. 3)--we are confident that the corpus will be useful to researchers. This is because existing corpora--frequently convenience samples--are conspicuously misaligned with the population of published novels. They tend to over-represent novels published in specific periods and novels by men. The Common Library may be used alongside or in place of these non-representative convenience corpora.
International Migration in Academia and Citation Performance: An Analysis of German-Affiliated Researchers by Gender and Discipline Using Scopus Publications 1996-2020
A Double Bind: Gendered Funding, Research Topics, and Academic Performance in the Social Sciences
University of Edinburgh（爱丁堡大学）；Edinburgh Futures Institute, University of Edinburgh（爱丁堡未来研究所）；University of Cambridge（剑桥大学）；Wuhan University（武汉大学）；Renmin Hospital of Wuhan University（武汉大学人民医院）；University of Münster（明斯特大学）；University of York（约克大学）；Polytechnic University of Milan（米兰理工大学）；East China Normal University（华东师范大学）；University of Reading（雷丁大学）；City University of Macau（澳门城市大学）
Any Old Tom, Dick or Harry: The Citation Impact of First Name Genderedness
Southern University of Denmark（南丹麦大学）；École de Bibliothéconomie et des Sciences de l’Information, Université de Montréal（蒙特利尔大学图书信息学院）；Université du Québec à Montréal（魁北克大学蒙特利尔分校）；Consortium Érudit, Université de Montréal（蒙特利尔大学Érudit联盟）；Observatoire des Sciences et des Technologies, Centre Interuniversitaire de Recherche sur la Science et la Technologie, Université du Québec à Montréal（魁北克大学蒙特利尔分校跨大学科研中心科学与技术观测站）
本研究通过融合维基数据名字性别化表与Web of Science索引的2010-2019年美国作者论文数据，分析名字性别化与引用分布的关系，发现女性化和中性名字在所有学科和作者角色中普遍存在引用劣势。
Researcher Population Pyramids: Tracking Demographic and Gender Trajectories Across Countries
Graduate School of Systems Design, Tokyo Metropolitan University（东京都立大学系统设计研究生院）；Information and Society Research Division, National Institute of Informatics（国立情报学研究所信息与社会研究部）；Joint Support-Center for Data Science Research, Research Organization of Information and Systems（信息系统研究机构数据科学研究联合支持中心）
Revisiting gender bias research in bibliometrics: Standardizing methodological variability using Scholarly Data Analysis (SoDA) Cards
School of Information Sciences, University of Illinois Urbana–Champaign（伊利诺伊大学厄巴纳-香槟分校信息科学学院）；School of Information, University of Michigan - Ann Arbor（密歇根大学安娜堡分校信息学院）；School of Social Sciences and Technology, Technical University of Munich（慕尼黑工业大学社会科学与技术学院）
Return migration of German-affiliated researchers: Analyzing departure and return by gender, cohort, and discipline using Scopus bibliometric data 1996-2020
Max Planck Institute for Demographic Research（马克斯·普朗克人口研究所）；Leverhulme Centre for Demographic Science, Department of Sociology, University of Oxford（牛津大学社会学院莱弗休姆人口研究中心）；Department of Mechanical and Industrial Engineering, University of Toronto（多伦多大学机械与工业工程系）；Department of Sociology, University of British Columbia（英属哥伦比亚大学社会学系）
