所以,你想吸引和留住多样化的师资???:民族志

Melva R. Grant
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引用次数: 1

摘要

这是一本关于认识上的不公正(即作为一个知道者的可信度降低)和跨部门终身教职员工的韧性的民族志,他们将伤害转化为重建智力信心和锻炼智力勇气的机会。个人故事被用来通过将其置于日常环境中来审视和制造明确的认识不公正伤害(Glesne,2006)。本文的目的是引入不同语言的理论视角,以改进关于种族偏见这一古老挑战的论述,并明确所经历的伤害类型。提出了重要的研究问题供研究人员考虑。这篇文章中分享的故事及其含义有望影响管理人员、研究人员和教职员工,让他们看到有必要重新定义他们支持机构多样性的方式。这些故事及其含义表明了支持多样性的复杂微妙之处,这对那些大胆追求吸引和留住多样化教师的机构来说尤其重要。
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So, You Want to Attract and Retain Diverse Faculty???: An Autoethnography
This is an autoethnography about epistemic injustice (i.e., diminished credibility as a knower) and resilience of an intersectional tenured faculty member who transformed harm into opportunities for rebuilding intellectual confidence and for exercising intellectual courage. Personal stories are used to examine and make explicit epistemic injustice harms by situating them within everyday contexts (Glesne, 2006). The purpose of this essay was to introduce theoretical perspectives with different language for improving discourses about an old challenge, racial bias, and to make explicit the types of harms experienced. Important research questions are posed for consideration by researchers. The stories shared in this essay and their implications will hopefully influence administrators, researchers, and faculty to see the need for reconceptualizing the ways they support diversity within their institutions. These stories and the implications demonstrate the complex subtlety of supporting diversity and this is especially important for institutions who audaciously pursue the goal of attracting and retaining diverse faculty.
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来源期刊
Communications on Stochastic Analysis
Communications on Stochastic Analysis Mathematics-Statistics and Probability
CiteScore
2.40
自引率
0.00%
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0
期刊介绍: The journal Communications on Stochastic Analysis (COSA) is published in four issues annually (March, June, September, December). It aims to present original research papers of high quality in stochastic analysis (both theory and applications) and emphasizes the global development of the scientific community. The journal welcomes articles of interdisciplinary nature. Expository articles of current interest will occasionally be published. COSAis indexed in Mathematical Reviews (MathSciNet), Zentralblatt für Mathematik, and SCOPUS
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