Entomology · Paper · 2026

Ento-Linguistics: Language, Ambiguity, and Scientific Communication in Entomology

Daniel Ari Friedman, Tucker Cahill Chambers

Zenodo

Catalog Row109
Citation KeyFriedman2026EntoLinguisticsLanguageAmbiguity109
Paper FolderAvailable
Platform availability

Overview

Extracted from the local paper documentation when available.

Scientific language does not merely describe biological phenomena; it actively constitutes the generative models through which researchers parse complex systems. This paper makes three core contributions to understanding—and correcting—the epistemic consequences of this constitutive role. First, we introduce a six-domain Ento-Linguistic framework that decomposes the terminological landscape of...

entomologyscientific communicationterminology networksActive Inferencecorpus linguisticsCACEsemantic entropymyrmecology

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts
  • Six-domain Ento-Linguistic framework, open-source corpus pipeline (term extraction, co-occurrence networks, semantic entropy), and CACE meta-standards for lexical engineering in entomology.
Methods / Techniques
  • Field observation and behavioral assays
  • Population genetics analysis

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2026. Ento-Linguistics: Language, Ambiguity, and Scientific Communication in Entomology. Zenodo. DOI: 10.5281/zenodo.19574117. URL: https://doi.org/10.5281/zenodo.19574117.

Primary source Documentation Full Text Image Gallery BibTeX

Related in Entomology

Other catalogued works in the same domain.

View all Entomology works, software & media →