Kayla Wolf's Avatar

Kayla Wolf

@kayla-wolf

Assistant Teaching Prof @ Northeastern | gender & education & politics | USC & Fordham alumna | Philly sports fan | loves Jeopardy, libraries & cheese

52
Followers
58
Following
1
Posts
31.12.2024
Joined
Posts Following

Latest posts by Kayla Wolf @kayla-wolf

Preview
#ScholarSunday Thread 229 Published on June 15, 2025

Here it is, my 229th #ScholarSunday thread of great public scholarly writing & work, podcast episodes, new & forthcoming books from the last week. Please add more below, share widely, & enjoy, all! 🗃️

americanstudier.substack.com/p/scholarsun...

15.06.2025 11:57 👍 130 🔁 48 💬 4 📌 24
Preview
Trump fits the bill of an authoritarian. But so do many Americans | USAPP Americans who enjoy some degree of advantage based on their race and/or gender, such as white men, are more likely to have authoritarian tendencies.

Trump fits the bill of an authoritarian. But so do many Americans write @kayla-wolf.bsky.social‬, Chaerim Kim, Laura Brisbane and Jane Junn of @usc.edu ‬

blogs.lse.ac.uk/usappblog/20...

09.06.2025 13:51 👍 1 🔁 1 💬 0 📌 0

Excited to see my first article in publication in JREP!

Chaerim, Laura, Jane and I analyze how right-wing authoritarianism predicts support for the MAGA Agenda and how this relationship depends on the existing cross-pressures of race and gender identity.

20.03.2025 16:22 👍 3 🔁 1 💬 0 📌 0
Research article entitled "Whitewashing Women Voters: Intersectionality and Partisan Vote Choice in the 2020 US Presidential Election" by Chaerim Kim and Jane Junn. 

Abstract begins: Due to the concern about relatively small samples, it has been conventional in previous research to analyze women voters together as a group. However, viewing women as a monolith results in ‘whitewashing,’ obscuring variation at the intersection of race and gender in partisan vote choice. Utilizing the 2020 Collaborative Multiracial Post-election Survey (CMPS), we disaggregate women voters by race and ethnicity and analyze the significance of a host of factors that contribute to partisan vote choice, with particular attention to the role of attitudes about race (i.e., “racial resentment”) and gender (i.e., “hostile sexism”) on support for Donald Trump in 2020.

Research article entitled "Whitewashing Women Voters: Intersectionality and Partisan Vote Choice in the 2020 US Presidential Election" by Chaerim Kim and Jane Junn. Abstract begins: Due to the concern about relatively small samples, it has been conventional in previous research to analyze women voters together as a group. However, viewing women as a monolith results in ‘whitewashing,’ obscuring variation at the intersection of race and gender in partisan vote choice. Utilizing the 2020 Collaborative Multiracial Post-election Survey (CMPS), we disaggregate women voters by race and ethnicity and analyze the significance of a host of factors that contribute to partisan vote choice, with particular attention to the role of attitudes about race (i.e., “racial resentment”) and gender (i.e., “hostile sexism”) on support for Donald Trump in 2020.

📢New issue of #PAG20 is out!📢

In 'Whitewashing Women Voters' Chaerim Kim and Jane Junn investigate how the intersectional positionality of race and gender affect reasons for voting for 🇺🇸 presidential candidates in 2020

polisky gendersky

https://buff.ly/429pBxi

14.01.2025 16:15 👍 10 🔁 3 💬 0 📌 0