Generate task-specific learning context from previous analyses
Source:R/06_manuscript_learning.R
generate_learning_context.RdProduces a LearningContext object with separate slices for coding, theming, and review prompts. Uses a CODEBOOK-FIRST approach: the codebook hierarchy (themes, subthemes, codes, descriptions, frequencies, and entry-level coding examples) is the primary learning source. Manuscripts are supplementary, used only when codebook descriptions are lacking.
Usage
generate_learning_context(
studies,
max_codebook_chars = 20000L,
max_manuscript_chars = 12000L,
max_raw_samples = 5L,
seed = 42L
)Arguments
- studies
PreviousStudies object
- max_codebook_chars
Max characters for codebook context per study
- max_manuscript_chars
Max characters for manuscript supplements per study
- max_raw_samples
Max raw data examples per study
- seed
Single RNG seed used for ALL example sampling, so the learning context is reproducible across runs (default 42).