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Jesse T Clark

Biographic Data

ID4393401
NAMEJesse T Clark
GIVEN NAMESJesse T
FAMILY NAMEClark
SIGNATURECLARK J T
AFFILIATIONSPrinceton University
ORCID0000-0001-7874-8287
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS6
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2023
H-INDEX1
  • Teaching across the FGWC Terrain: Reflections of Sociology Educators

    Open Access•Nicole B Oehmen, Jennifer Haylett et al.•ARTICLE•Teaching Sociology•2023•References: 30

    In this article, we investigate the college teaching experiences of four first-generation and working-class (FGWC) sociology educators with varying social locations. We used collaborative autoethnography to compare our backgrounds and university navigational strategies employed and shared with our students and mentees. Using an intersectional lens, we find our experiences reflect both commonalities and divergences in the FGWC experience, includin…

  • Minmaxing of Bayesian Improved Surname Geocoding and Geography Level Ups in Predicting Race

    Open Access•Jesse T Clark, John A Curiel et al.•ARTICLE•Political Analysis•2022•Cited by: 6•References: 18

    Racial identification is a critical factor in understanding a multitude of important outcomes in many fields. However, inferring an individual’s race from ecological data is prone to bias and error. This process was only recently improved via Bayesian improved surname geocoding (BISG). With surname and geographic-based demographic data, it is possible to more accurately estimate individual racial identification than ever before. However, the leve…

  • Minmaxing of Bayesian Improved Surname Geocoding and Geography Level Ups in Predicting Race

    Open Access•Jesse T Clark, John A Curiel et al.•ARTICLE•Political Analysis•2022•Cited by: 6•References: 18

    Racial identification is a critical factor in understanding a multitude of important outcomes in many fields. However, inferring an individual’s race from ecological data is prone to bias and error. This process was only recently improved via Bayesian improved surname geocoding (BISG). With surname and geographic-based demographic data, it is possible to more accurately estimate individual racial identification than ever before. However, the leve…

  • Minmaxing of Bayesian Improved Surname Geocoding and Geography Level Ups in Predicting Race

    Open Access•Jesse T Clark, John A Curiel et al.•ARTICLE•Political Analysis•2022•Cited by: 6•References: 18

    Racial identification is a critical factor in understanding a multitude of important outcomes in many fields. However, inferring an individual’s race from ecological data is prone to bias and error. This process was only recently improved via Bayesian improved surname geocoding (BISG). With surname and geographic-based demographic data, it is possible to more accurately estimate individual racial identification than ever before. However, the leve…

  • Teaching across the FGWC Terrain: Reflections of Sociology Educators

    Open Access•Nicole B Oehmen, Jennifer Haylett et al.•ARTICLE•Teaching Sociology•2023•References: 30

    In this article, we investigate the college teaching experiences of four first-generation and working-class (FGWC) sociology educators with varying social locations. We used collaborative autoethnography to compare our backgrounds and university navigational strategies employed and shared with our students and mentees. Using an intersectional lens, we find our experiences reflect both commonalities and divergences in the FGWC experience, includin…

Sociology (2 works) · Artificial Intelligence (1 works) · Autoethnography (1 works) · Bayesian probability (1 works) · Cartography (1 works) · Census (1 works) · Class (philosophy (1 works) · Computer Science (1 works) · Critical Race Theory in Education (1 works) · Data-Driven Disease Surveillance (1 works)

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