Department of Public Administration and Policy, University of Georgia, Athens, Georgia 30602, USA.
Acad Med. 2012 Nov;87(11):1488-95. doi: 10.1097/ACM.0b013e31826d5a8d.
The authors contend that increasing diversity in academic medicine, science, technology, engineering, and mathematics requires the adoption of a systematic approach to retain minority high school and college students as they navigate the scientific pipeline. Such an approach should focus on the interrelated and multilayered challenges that these students face. The authors fuse an alternative conceptualization of the scientific and technical human capital theoretical framework and the theory of social identity contingencies to offer a conceptual model for targeting the critical areas in which minority students may need additional support to continue toward careers in science. Their proposed asset bundles model is grounded in the central premise that making greater progress in recruiting and retaining minorities likely requires institutions to respond simultaneously to various social cues that signal devaluation of certain identities (e.g., gender, race, socioeconomic status). The authors define "asset bundles" as the specific sets of abilities and resources individuals develop that help them succeed in educational and professional tasks, including but not limited to science and research. The model consists of five asset bundles, each of which is supported in the research literature as a factor relevant to educational achievement and, the authors contend, may lead to improved and sustained diversity: educational endowments, science socialization, network development, family expectations, and material resources. Using this framework, they suggest possible ways of thinking about the task of achieving diversity as well as guideposts for next steps. Finally, they discuss the feasibility of implementing such an approach.
作者认为,要增加学术医学、科学、技术、工程和数学领域的多样性,就需要采用系统的方法来留住少数族裔的高中生和大学生,因为他们要在科学领域中发展。这种方法应该侧重于这些学生所面临的相互关联的、多层次的挑战。作者融合了科学和技术人力资本理论框架的替代概念化和社会认同偶然性理论,为针对少数族裔学生可能需要额外支持以继续从事科学职业的关键领域提供了一个概念模型。他们提出的资产包模型基于这样一个核心前提,即要在招聘和留住少数族裔方面取得更大进展,可能需要各机构同时对各种社会信号做出反应,这些信号表明某些身份(如性别、种族、社会经济地位)受到了贬低。作者将“资产包”定义为个人发展的特定能力和资源集合,这些能力和资源帮助他们在教育和专业任务中取得成功,包括但不限于科学和研究。该模型由五个资产包组成,每个资产包都在研究文献中得到支持,被认为是教育成就的一个相关因素,作者认为,这可能会导致多样性的改善和持续。利用这一框架,他们提出了一些思考实现多样性任务的方法以及下一步的指导方针。最后,他们讨论了实施这种方法的可行性。