A small synthetic dataset that mimics the row-level structure returned by
run_ai_on_chapters(). It is intended for examples, documentation, and
testing plotting and summarization workflows without running live AI
simulations. The object also includes model and temperature attributes
so plotting helpers can display realistic metadata in subtitles.
Format
A tibble with 32 rows and 15 variables:
- book
Book title.
- chapter
Chapter identifier.
- sim
Simulation index.
- identity
Simulated respondent identity.
- party
Political party grouping.
- pre_ingroup
Pre-reading ingroup rating.
- post_ingroup
Post-reading ingroup rating.
- pre_outgroup
Pre-reading outgroup rating.
- post_outgroup
Post-reading outgroup rating.
- pre_gap
Pre-reading ingroup minus outgroup gap.
- post_gap
Post-reading ingroup minus outgroup gap.
- delta_ingroup
Change in ingroup rating.
- delta_outgroup
Change in outgroup rating.
- delta_gap
Change in affective polarization gap.
- chapter_excerpt
Short synthetic chapter excerpt.