Jake S Truscott
Biographic Data
| ID | 4395845 |
|---|---|
| NAME | Jake S Truscott |
| GIVEN NAMES | Jake S |
| FAMILY NAME | Truscott |
| SIGNATURE | TRUSCOTT J S |
| AFFILIATIONS | University of Florida |
| ORCID | 0000-0002-9914-9248 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 16 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Measuring Judicial Ideology Through Text
Explorations of ideology retain special significance in contemporary studies of judicial politics. While some existing methodologies draw on voting patterns and coalition alignments to map a jurist’s latent features, many are otherwise reliant on supplemental proxies – often directly from adjacent actors or via assessments from various prognosticators. We propose an alternative that not only leverages observable judicial behavior, but does so thr…
How to train your stochastic parrot
We demonstrate how few-shot prompts to large language models (LLMs) can be effectively applied to a wide range of text-as-data tasks in political science—including sentiment analysis, document scaling, and topic modeling. In a series of pre-registered analyses, this approach outperforms conventional supervised learning methods without the need for extensive data pre-processing or large sets of labeled training data. Performance is comparable to e…
A Social Media Platform Model of Supreme Court News
An economic model of news contends that the pressures of limited column space and market competition force media actors to be strategic concerning which notable events receive exhaustive coverage, if any at all. Applying this framework to the Supreme Court can explain why coverage of the Justices’ decision-making has historically been sensationalized and reserved for decisions sure to have a pronounced effect on public discourse. However, the eme…
Analyzing the Rhetoric of Supreme Court Confirmation Hearings
Supreme Court confirmation hearings place the often-reclusive institution in the public spotlight and afford members of the Senate Judiciary Committee the ability to pursue important personal and party goals. I construct and evaluate a measure of rhetorical sentiment that considers the positive and negative behaviors of committee members during Supreme Court confirmation hearings between 1971 and 2020. While some observers have pointed to the evo…
How to train your stochastic parrot
We demonstrate how few-shot prompts to large language models (LLMs) can be effectively applied to a wide range of text-as-data tasks in political science—including sentiment analysis, document scaling, and topic modeling. In a series of pre-registered analyses, this approach outperforms conventional supervised learning methods without the need for extensive data pre-processing or large sets of labeled training data. Performance is comparable to e…
Analyzing the Rhetoric of Supreme Court Confirmation Hearings
Supreme Court confirmation hearings place the often-reclusive institution in the public spotlight and afford members of the Senate Judiciary Committee the ability to pursue important personal and party goals. I construct and evaluate a measure of rhetorical sentiment that considers the positive and negative behaviors of committee members during Supreme Court confirmation hearings between 1971 and 2020. While some observers have pointed to the evo…
Analyzing the Rhetoric of Supreme Court Confirmation Hearings
Supreme Court confirmation hearings place the often-reclusive institution in the public spotlight and afford members of the Senate Judiciary Committee the ability to pursue important personal and party goals. I construct and evaluate a measure of rhetorical sentiment that considers the positive and negative behaviors of committee members during Supreme Court confirmation hearings between 1971 and 2020. While some observers have pointed to the evo…
A Social Media Platform Model of Supreme Court News
An economic model of news contends that the pressures of limited column space and market competition force media actors to be strategic concerning which notable events receive exhaustive coverage, if any at all. Applying this framework to the Supreme Court can explain why coverage of the Justices’ decision-making has historically been sensationalized and reserved for decisions sure to have a pronounced effect on public discourse. However, the eme…
Measuring Judicial Ideology Through Text
Explorations of ideology retain special significance in contemporary studies of judicial politics. While some existing methodologies draw on voting patterns and coalition alignments to map a jurist’s latent features, many are otherwise reliant on supplemental proxies – often directly from adjacent actors or via assessments from various prognosticators. We propose an alternative that not only leverages observable judicial behavior, but does so thr…
How to train your stochastic parrot
We demonstrate how few-shot prompts to large language models (LLMs) can be effectively applied to a wide range of text-as-data tasks in political science—including sentiment analysis, document scaling, and topic modeling. In a series of pre-registered analyses, this approach outperforms conventional supervised learning methods without the need for extensive data pre-processing or large sets of labeled training data. Performance is comparable to e…
Computer Science (3 works) · Judicial and Constitutional Studies (3 works) · Law (3 works) · Law (3 works) · Political science (3 works) · Supreme court (3 works) · Computational and Text Analysis Methods (2 works) · Legal and Constitutional Studies (2 works) · Politics (2 works) · Power (physics (2 works)