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

Abstract

Descriptive Ento-Linguistic corpus analyses with a six-domain framework, a fixed-margin terminology-network comparison, and a 20-minute research lecture. Version 1.2.0 adds 600 primary and 300 protocol-sensitivity draws, full traces and independent provenance. The comparison is conditional on the selected vocabulary and convenience corpus; it does not measure causal language effects or author intent. Paper and media: CC BY 4.0; software retains its repository license. Headline analyses use 7,540 identified abstracts, with separate PMC, BHL and arXiv layers. The extension independently reconstructs the 100-term network (4,232 edges; clustering 0.894841) and preserves both incidence margins during sampling. Both protocols show lower observed connectivity and clustering than their conditional reference. Finite correlated draws and between-chain diagnostics do not prove convergence. The 20-minute, 28-slide 4K lecture provides context, methods and all six domains with DAF narration, timed bottom captions and six Manim animations. It references the v1.1.1 baseline paper; the accompanying v1.2.0 manuscript and research bundle incorporate the new extension. Published-core analyses were verified from existing content receipts, not relabeled as newly recomputed. Public source and release assets: https://github.com/docxology/ento_linguistics/releases/tag/v1.2.0. Production source is maintained in the private LectureCreate repository; the public lecture and companions are included here. PDF and media CC BY 4.0; source corpus materials remain subject to their providers' terms.