quallmer
R toolbox for codebook-based LLM-assisted qualitative coding, comparison against human coding, and audit trails.
L2Research workflow (workflow level, not a quality rating) Source: Repository-documented Outcome: Not empirically evaluated here
Research applicability
R toolbox for codebook-based LLM-assisted qualitative coding, comparison against human coding, and audit trails.
Getting started
Follow the linked getting-started tutorials, install the development package via pak, define a small codebook and validate a pilot against researcher coding. These are documentation-based editorial adoption suggestions, not an exercised workflow.
Maintenance
Maintenance and runtime behavior not independently audited.
License
License not independently audited.
Workflow & human oversight
Defined coding workflow; researchers select codebooks, data, models and gold standards, and interpret discrepancies.
Workflow level is not an evidence score; higher is not better evidence.
Approach
The README documents qlm_codebook, qlm_code, qlm_replicate, qlm_compare, qlm_validate and qlm_trail for defining codes, running and comparing coding, and exporting provenance.
Limitations
No coding accuracy or reliability gains reproduced. API privacy/cost depend on provider; statistical agreement does not itself establish interpretive validity. README uniqueness and ease-of-use claims were not independently checked.
Reproducibility
Primary repository documentation checked live. No installation, software execution, security audit, or outcome replication performed.
Adoption requirements
R plus package dependencies and an ellmer-supported model/provider; configure API authentication or a local Ollama model.
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