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Record W7015237988

Stereotypes and microaggressions against Black African international students in U.S. higher education institutions

2021· article· en· W7015237988 on OpenAlexaboutno aff

Bibliographic record

VenueIDEALS (University of Illinois Urbana-Champaign) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsnot available
FundersPennsylvania State UniversityUniversity of Pennsylvania
KeywordsRacializationMiddle EastHigher educationExtant taxonStudy abroadWhite (mutation)International educationMeaning (existential)Latin AmericansQualitative research
DOInot available

Abstract

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Introduction
\n
\nThis paper examines extant literature on stereotypes and microaggressions against Black African international students in U.S. postsecondary education institutions. We explore the lived experiences of Black African international students studying at various U.S. higher education institutions for patterns of stereotypes and microaggressions.
\n
\nThe term Black Africans refers to people from Western, Eastern, Southern (excluding "White" South Africans), and Central parts of Africa, who have darker skin pigmentation. This contrasts with North Africans, who for the most part have lighter skin pigmentation and may pass for "White," depending on their phenotypical features/variations. In fact, in political and academic discourses, North Africa is often associated with the Middle East under the broad term MENA, an abridgment of Middle East and North Africa (Amrani, 2015).
\n
\nPreliminary Literature Review
\nMost studies that look at race-related issues vis-a-vis international student experiences classify participants by national/continental representations, depending on the research's foci. For example, in a study that examined the making of the meaning of race and racialization by international graduate students, Lewis (2013) featured participants from England, Brazil, Nigeria, China, and Norway, representing Europe, South America, Africa, Asia, and Europe respectively. Lee and Rice's (2007) study analyzed the experiences of twenty-four international students from India, East Asia, Africa, Europe, Latin America, the Gulf Region, Canada and New Zealand. Hanassab's (2006) study, which assessed "the experiences of international students…[on] perceived discrimination" (p. 157) in U.S. postsecondary institutions, sampled participants from Asia, Europe, Canada, Southeast Asia, the Americas, Africa, the Middle East, and Oceania.
\n
\nOther studies employ a domestic v. international student perspective, homogenizing the experiences of international students. Although this blanket approach has contributed to understanding the racialized experiences of international students in U.S postsecondary institutions, it offers little insights into the dynamics of stereotypes and microaggressions among Black international students, who may experience race-related stress because of the intersectionality of their identity. For example, a Black male, African international student who combines at least two minoritized identities: "Black" and "African international student." The apparent aspect of this student's identity that is seen by others is the color of his skin. So, without hearing his non-"American" accent, he may be perceived as African American and become a target of racialized oppression.
\n
\nResearch Questions and Methods
\nWe will utilize a purposive sampling technique, comprising five Black African international graduate students-from Ghana and Nigeria-from three U.S. institutions, including University of Illinois at Urbana-Champaign, Texas Tech University, and Bowling Green State University. Some of the survey questions include, but not limited to:
\no Have you personally experienced stereotypes and microaggressions in the U.S.?
\no Do you think stereotypes and microaggressions against a Black female, international student may be amplified because of the color of her skin?
\no Do you think Black international students may face stereotypes and microaggressions that "White" international students (from Europe and Canada) studying in the U.S. may not face?
\n
\nEmerging Themes
\nExclusion: dearth of literature examining the lived experiences of Black African international students. Studies on racial microaggressions against minoritized groups on U.S. campuses seldom include Black African international students.
\n
\nPerceived language and academic abilities: preliminary review of extant literature suggests that Black African international students face language and race-based microaggressions that White international students from the UK, Australia, and Canada do not face.
\n
\nIntersectionality of Identity: Race plays a role in Black African international students' experiences of stereotypes and microaggression in the U.S. For example, stereotypes and microaggressions against a Black female, international student may be amplified because of the color of her skin.
\n
\nAs the search for a better understanding on this issue continues, we will utilize preliminary findings from our surveys to organize semi-structured interviews and focus groups, and carry out further data analysis. Implicitly construed as one of the aims of the 2018 CIES conference is the need "to expand our awareness of the voices, actors and knowledge producers that have historically been marginalized in educational research and institutions." For many Black African international students, being "Black" held no racial significance until they came to the U.S. Lewis suggest that "one key aspect of international student identities that is likely to become complicated during their here [in the United States] is their racial identity" (2013, p. 60). So, central to this "awareness," is the importance of critically challenging-to disrupt-the systems of institutionalized marginalization against Black international students, which undermine their agency in the process of scholastic production and representation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.338
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.316
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2021
Admission routes1
Has abstractyes

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