Evidence map›Paper›PMID 36046097›Full record

ArticleAffective science2022

Social-Cognitive and Affective Antecedents of Code Switching and the Consequences of Linguistic Racism for Black People and People of Color.

Darin G Johnson, Bradley D Mattan, Nelson Flores, Nina Lauharatanahirun, Emily B Falk

Abstract read
In one paragraph

Article in Affective science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Darin G JohnsonAnnenberg School for Communication, University of Pennsylvania, 3620 Walnut St, Philadelphia, PA 19104 USA.
Bradley D MattanAnnenberg School for Communication, University of Pennsylvania, 3620 Walnut St, Philadelphia, PA 19104 USA.
Nelson FloresGraduate School of Education, University of Pennsylvania, Philadelphia, PA USA.
Nina LauharatanahirunDepartment of Biomedical Engineering, Pennsylvania State University, State College, PA USA.
Emily B FalkAnnenberg School for Communication, University of Pennsylvania, 3620 Walnut St, Philadelphia, PA 19104 USA.

Funding

PQA - 3: Neural predictors of receptivity to health communication and behavior chR01CA180015 · NCI · UNIVERSITY OF PENNSYLVANIA · PI FALK, EMILY · 2013 to 2016
$2.2M
NCI NIH HHS R01 CA180015
6 · The paper itself

Abstract

Linguistic racism shapes the psychological antecedents of code switching and its consequences for Black people and other people of color. We highlight mentalizing as an antecedent of code switching. We posit that stereotype threat arises in contexts where racism is salient, prompting scrutiny of others' mental states (i.e., mentalizing) when making choices about linguistic self-presentation. Additionally, we posit that sustained appraisals of stereotype threat add cognitive load and reinforce self-protective code switching. We highlight potential consequences of linguistic racism for Black people and other people of color, including reduced opportunities for authentic self-presentation, increased emotional effort, and stress. Finally, we outline paths forward for research and practice: (1) recognizing the heterogeneity of language and thereby reducing linguistic racism, (2) implementing changes that promote racially affirming environments that reduce demands for self-protective code switching, and (3) adapting and creating scalable psychometric tools to measure linguistic choices and linguistic racism.

Indexed as

Code switchingLinguistic racismMentalizingSelf-presentationStereotype threat

Identifiers

PMID36046097
PMCPMC9382929

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.