Environmental Microaggressions: Context, Symbols, and Mascots

Steinfeldt, Jesse A.; Hyman, Jacqueline E.; Steinfeldt, Matthew C.

doi:10.1002/9781119466642.ch13

Cited by 17 publications

(3 citation statements)

References 13 publications

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“…In addition to what might be considered more interpersonal manifestations that we reference above, we also include environmental and institutional manifestations in our conceptualization of microaggressions (Purdie-Vaughns et al, 2008; Sue, Capodilupo, et al, 2007). Steinfeldt et al (2019) conceptualize environmental microaggressions as “a way in which institutions—systems larger than the individual—work to maintain societal structures of oppression and privilege” (p. 215). That is, while some microaggressions can be understood as expressions of a specific individual’s biases (conscious or not), others are grounded in institutional traditions that have gone unquestioned and that are arguably not the result of an identifiable person’s cognitions but rather local manifestations of broader marginalizing ideologies and systemic biases (e.g., routine early morning meetings that conflict with child care responsibilities which often fall on mothers or a tradition of filling a prominent wall with pictures of past deans, all of whom are White men).…”

Section: Gendered Microaggressions In the Academymentioning

confidence: 99%

Challenging gendered microaggressions in the academy: A social–ecological analysis of bystander action among faculty.

Haynes-Baratz

Bond

Allen

et al. 2022

Journal of Diversity in Higher Education

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Despite increasing numbers, women faculty are still underrepresented at higher ranks and in leadership positions in the professoriate. Recent research suggests that gendered microaggressions, a particular expression of subtle gender bias, have a powerful, cumulative negative impact on women faculty's access to research support and advancement. Bystander interventions are a promising avenue to mitigate their impact. However, little is known about the factors that encourage and/or present barriers to bystander action around microaggressions in the academic work environment-arguably, critical information required in order to design an effective workplace intervention program. A series of 12 semistructured interviews were conducted to explore faculty's current action (or inaction) in response to witnessing microaggressions. Employing a social-ecological lens, findings suggest that facilitators and barriers to bystander action exist at the individual, interpersonal, and organizational levels. Implications for the development of workplace bystander intervention programs in the academy are discussed.

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Section: Gendered Microaggressions In the Academymentioning

confidence: 99%

Challenging gendered microaggressions in the academy: A social–ecological analysis of bystander action among faculty.

Haynes-Baratz

Bond

Allen

et al. 2022

Journal of Diversity in Higher Education

View full text Add to dashboard Cite

show abstract

“…Environmental microaggressions should also be considered when designing and naming symbols, buildings, or groups. Examples of environmental microaggressions include naming buildings exclusively after White donors or using Native symbols or icons as mascots or names (e.g., Washington Redskins) ( Steinfeldt et al, 2018 ). Thus, surveys for open and anonymous feedback are imperative to allow individuals to have honest conversations about these microaggressions.…”

Section: Solutions and Recognition Strategiesmentioning

confidence: 99%

Recognizing and addressing environmental microaggressions, know-your-place aggression, peer mediocrity, and code-switching in STEMM

Neikirk,

Silvers,

Kamalumpundi

et al. 2023

Front. Educ.

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Diversity, equity, and inclusion (DEI) initiatives are critical for fostering growth, innovation, and collaboration in science, technology, engineering, mathematics, and medicine (STEMM). This article focuses on four key topics that have impacted many Black individuals in STEMM: know-your-place aggression, environmental microaggressions, peer mediocrity, and code-switching. We provide a comprehensive background on these issues, discuss current statistics, and provide references that support their existence, as well as offer solutions to recognize and address these problems in the STEMM which can be expanded to all historically underrepresented individuals.

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“…• US medical school curriculums that only mention the health needs of gay men when discussing the risk of sexual transmitted diseases feed into stereotypes of gay men as promiscuous and sick (Dean, Victor, and Guidry-Grimes 2016, 562). • Sports mascots and logos, like the Redskins, depict Indigenous peoples as savage and primitive (Sue 2010;Steinfeldt, Hyman, and Steinfeldt 2019).…”

Section: Situating Algorithmic Microaggressions Within the Broader Mi...mentioning

confidence: 99%

Algorithmic Microaggressions

McClure,

Wald

2022

FPQ

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We argue that machine learning algorithms can inflict microaggressions on members of marginalized groups and that recognizing these harms as instances of microaggressions is key to effectively addressing the problem. The concept of microaggression is also illuminated by being studied in algorithmic contexts. We contribute to the microaggression literature by expanding the category of environmental microaggressions and highlighting the unique issues of moral responsibility that arise when we focus on this category. We theorize two kinds of algorithmic microaggression, stereotyping and erasure microaggressions, and argue that corporations are responsible for the microaggressions their algorithms create. As a case study, we look at the problems faced by Google’s autocomplete prediction and at the insufficiency of their solutions. The case study of autocomplete demonstrates our core claim that microaggressions constitute a distinct form of algorithmic bias and that identifying them as such allows us to avoid seeming solutions that recreate the same kinds of harms. Google has a responsibility to make information freely available, without exposing users to degradation. To fulfill its duties to marginalized groups, Google must abandon the fiction of neutral prediction and instead embrace the liberatory power of suggestion.

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Environmental Microaggressions: Context, Symbols, and Mascots

Cited by 17 publications

References 13 publications

Challenging gendered microaggressions in the academy: A social–ecological analysis of bystander action among faculty.

Challenging gendered microaggressions in the academy: A social–ecological analysis of bystander action among faculty.

Recognizing and addressing environmental microaggressions, know-your-place aggression, peer mediocrity, and code-switching in STEMM

Algorithmic Microaggressions

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