Agentic Research Directory

Tool

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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