238
Views
2
CrossRef citations to date
0
Altmetric
Research Article

#USvsHate: the power and core tensions of using an ‘anti-hate’ onramp for K12 antiracism today

ORCID Icon & ORCID Icon
Pages 461-486 | Received 21 Apr 2021, Accepted 13 Jan 2022, Published online: 06 Mar 2022
 

ABSTRACT

This paper launches public analysis of #USvsHate (‘us versus hate’), a collective initiative to invite ‘anti-hate’ lessons and youth-made public messaging in U.S. schools. Building on multiple research traditions, the Authors designed and piloted #USvsHate regionally, then nationally, starting in 2017. Here, we explore the pros and cons of using an ‘anti-hate’ frame as an onramp to K12 work against bias, injustice, and racism particularly, in an era of emboldened bigotry. As antiracist project designers, we had specific hopes and worries regarding the ‘anti-hate’ onramp, particularly the worry that its focus on heightened cruelty might turn students’ attention away from normalized bias and structural inequality. This paper tracks our initial effort to leverage a frame avoided by scholars, given its K12 utility and familiarity.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

Some project implementation and related design research were supported by seed funding from Teaching Tolerance of the Southern Poverty Law Center. Our formal research work was also supplemented by a small grant from the Spencer Foundation.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 384.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.