Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Daniel N Rockmore

Biographic Data

ID6880273
NAMEDaniel N Rockmore
GIVEN NAMESDaniel N
FAMILY NAMERockmore
SIGNATUREROCKMORE D N
AFFILIATIONSDartmouth College
ORCID0000-0001-5411-9224
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS2
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Language Model Interpretability and Empirical Legal Studies

    Michael A Livermore, Felix Herron et al.•ARTICLE•Journal of Institutional and…•2024

    Large language models (LLMs) now perform extremely well on many natural language processing tasks. Their ability to convert legal texts to data may offer empirical legal studies (ELS) scholars a low-cost alternative to research assistants in many contexts. However, less complex computational language models, such as topic modeling and sentiment analysis, are more interpretable than LLMs. In this paper we highlight these differences by comparing L…

  • The social identity voting model

    Open Access•Scott D Paul, Greg Leibon et al.•ARTICLE•Research & Politics•2015•Cited by: 2•References: 3

    Social identity voting (SIV) is a new model of voting behavior based on the principles of social identity theory. We introduce and use this model to analyze roll call votes for the 35 th through 112 th US Congresses. Comparing out-of-sample accuracy of SIV and Poole and Rosenthal’s Weighted NOMINAL Three-step Estimation (W-NOMINATE), we find that SIV performs better than the one- or two-dimensional W-NOMINATE model and that generally, W-NOMINATE …

  • A spectral clustering approach to the structure of personality

    Open Access•Sean Brocklebank, Scott D Paul et al.•ARTICLE•Journal of Research in Personality•2015•References: 26

  • The social identity voting model

    Open Access•Scott D Paul, Greg Leibon et al.•ARTICLE•Research & Politics•2015•Cited by: 2•References: 3

    Social identity voting (SIV) is a new model of voting behavior based on the principles of social identity theory. We introduce and use this model to analyze roll call votes for the 35 th through 112 th US Congresses. Comparing out-of-sample accuracy of SIV and Poole and Rosenthal’s Weighted NOMINAL Three-step Estimation (W-NOMINATE), we find that SIV performs better than the one- or two-dimensional W-NOMINATE model and that generally, W-NOMINATE …

  • The social identity voting model

    Open Access•Scott D Paul, Greg Leibon et al.•ARTICLE•Research & Politics•2015•Cited by: 2•References: 3

    Social identity voting (SIV) is a new model of voting behavior based on the principles of social identity theory. We introduce and use this model to analyze roll call votes for the 35 th through 112 th US Congresses. Comparing out-of-sample accuracy of SIV and Poole and Rosenthal’s Weighted NOMINAL Three-step Estimation (W-NOMINATE), we find that SIV performs better than the one- or two-dimensional W-NOMINATE model and that generally, W-NOMINATE …

  • A spectral clustering approach to the structure of personality

    Open Access•Sean Brocklebank, Scott D Paul et al.•ARTICLE•Journal of Research in Personality•2015•References: 26

  • Language Model Interpretability and Empirical Legal Studies

    Michael A Livermore, Felix Herron et al.•ARTICLE•Journal of Institutional and…•2024

    Large language models (LLMs) now perform extremely well on many natural language processing tasks. Their ability to convert legal texts to data may offer empirical legal studies (ELS) scholars a low-cost alternative to research assistants in many contexts. However, less complex computational language models, such as topic modeling and sentiment analysis, are more interpretable than LLMs. In this paper we highlight these differences by comparing L…

Computer Science (2 works) · Mathematics (2 works) · Psychology (2 works) · Social Psychology (2 works) · Statistics (2 works) · Artificial Intelligence (1 work) · Assertion (1 work) · Big Five personality traits (1 work) · Cluster (spacecraft) (1 work) · Cluster analysis (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae