occupations

This dataset contains 3,948 ballot designations from municipal elections in California.
A random subset are hand-labeled as either "Working Class" or "Not Working Class" occupations.

datasets

Format and submit few-shot prompts to OpenAI's Large Language Models (LLMs). Designed to be particularly useful for text classification problems in the social sciences. Methods are described in Ornstein, Blasingame, and Truscott (2024) <https://joeornstein.github.io/publications/ornstein-blasingame-truscott.pdf>.

Joe Ornstein

promptr

Format and Complete Few-Shot LLM Prompts

occupations function

A data frame with 3948 rows and 2 columns:<dl>
<dt>baldesig</dt>
<dd>Ballot designation as it appears in the CEDA dataset</dd><dt>hand_coded</dt>
<dd>A hand-coded occupation classification (for a random subset)</dd>
</dl>

Format

Occupations — occupations

A data frame with 3948 rows and 2 columns:<dl>
<dt>baldesig</dt>
<dd>Ballot designation as it appears in the CEDA dataset</dd>

<dt>hand_coded</dt>
<dd>A hand-coded occupation classification (for a random subset)</dd>


</dl>

occupations: Occupations

Description

Usage

Arguments

Format

References