TACIT: theory-anchored qualitative coding
Streamlit application documented for LLM-assisted interview coding, researcher revision and an audit trail.
Workflow level n/a Source: Repository-documented Outcome: Not empirically evaluated here
Research applicability
Supports traceable qualitative analysis and review of interview coding rather than replacing interpretive judgment.
Getting started
Editorial suggestion, not tested: read the README installation instructions, begin with the supplied synthetic demonstration and reference codings, then review every code before considering confidential interview material.
Maintenance
Current documentation retrieved; maintenance cadence and operational reliability not evaluated.
License
README license statement only; license file and dependency terms not audited.
Workflow & human oversight
Resource-level automation is unspecified; researchers choose sources, approve interpretations and remain responsible for results.
Workflow level is not an evidence score; higher is not better evidence.
Approach
The README describes literature-grounded framework drafting through OpenAlex, researcher approval of dimensions, draft coding and code-review changes retained alongside original model judgments.
Limitations
README-only review; no code, paper or benchmark reproduction. Synthetic reference codings are not empirical validation. Model omissions and unsupported interpretation require researcher review. Local transcript processing depends on a correctly configured local endpoint; literature retrieval and cloud providers can use the network.
Reproducibility
README source review only; no installation, tests, model runs or outcome reproduction.
Adoption requirements
Python 3.9+ and dependencies; a supported local model server or Gemini access for model-assisted coding. Human-subject approval and appropriate endpoint/data handling are required.
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