# AGENTS.md — Ento-Linguistics: Language, Ambiguity, and Scientific Communication in Entomology

**Paper**: Ento-Linguistics: Language, Ambiguity, and Scientific Communication in Entomology (2026)  
**Area**: Entomology · scientific communication · computational discourse analysis  
**Authors**: Daniel Ari Friedman, Tucker Cahill Chambers

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## Agent Roles

### 📖 Research Agent

**Focus**: Deep analysis of Ento-Linguistics and its six-domain framework.

**Tasks**:

- Analyze core argument: scientific language constitutes generative models in entomology; terminology reform as model selection under Active Inference.
- Evaluate: six Ento-Linguistic domains (Unit of Individuality; Power & Labor; Behavior & Identity; Sex & Reproduction; Kin & Relatedness; Economics) and how they isolate anthropomorphic and scale-misaligned priors.
- Evaluate: CACE meta-standards (Clarity, Appropriateness, Consistency, Evolvability) for lexical engineering.
- Map connections to Markov blankets, stigmergy, and inclusive-fitness framing where the paper applies them.

### 🔬 Methods Agent

**Focus**: Methodological rigor and replication.

**Tasks**:

- Assess and document: corpus construction (PubMed, arXiv), preprocessing, and reproducibility artifacts (`https://github.com/docxology/ento_linguistics`).
- Assess and document: term extraction, domain assignment, semantic entropy, statistical testing (including multiple-comparison correction), conceptual networks, rhetorical analysis, CACE scoring.
- Verify reported corpus metrics (e.g., 369 documents, token and term counts) against pipeline outputs when re-running the published code.

### 📚 Citation Agent

**Focus**: Citation context and scholarly impact.

**Tasks**:

- Track citations and impact of this work (DOI `10.5281/zenodo.19574118`).
- Map connections to related works in the Friedman corpus (e.g., Ant Stack, Active Inference–aligned entomology papers).
- Identify citing papers and downstream use of the terminology pipeline or CACE framework.

### 🔗 Synthesis Agent

**Focus**: Cross-paper and cross-domain connections.

**Tasks**:

- Connect themes: entomology, terminology networks, Active Inference, corpus methods, cognitive/epistemic aspects of scientific language.
- Link to related works in the docxology corpus and to the open-source repository.
- Identify synergies with cognitive security, sensemaking, and multi-agent modeling where language encodes priors.

### 💼 Consultant Agent

**Focus**: Practical application and knowledge transfer.

**Tasks**:

- Relate findings to editorial practice, teaching scientific writing, and improving clarity of models in social-insect research.
- Support teams adopting the pipeline for corpus updates or domain extensions.

## Extraction Log

- **Source PDF**: `Ento_Linguistics_DAF_TCC_v1_04-15-2026.pdf`
- **PDF Status**: Available
- **Documentation Quality**: Hand-curated from direct PDF analysis (title page, abstract, methods)

## Related Papers

See [BIBLIOGRAPHY.md](../../pages/BIBLIOGRAPHY.md) for the full catalog (row 107: Ento-Linguistics, Zenodo DOI `10.5281/zenodo.19574118`).
