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Unpacking disciplinary stance: a corpus-based analysis of evidentiality-modality interaction configurations as register-specific epistemic grammars in English scientific discourse

https://doi.org/10.18384/2949-5075-2025-6-60-68

Abstract

Aim. To identify, quantify, and compare dominant Evidentiality (E) – Modality (M) interaction configurations (marker co-occurrence) in contrasting English scientific registers (linguistics vs biology), interpreting them as register-specific ‘epistemic grammars’. Methodology. A comparable corpus (1.2M words, 2020–2023 high-impact journals: Journal of Linguistics,

Applied Linguistics; Cell, Nature Ecology & Evolution) was analyzed. E-M markers were identified (spaCy + manual validation, κ = 0.82). Interaction was defined as co-occurrence within a 4-word window. Quantitative (frequency, Log-likelihood, Welch's t-test, Cohen's d; p < 0.01) and qualitative methods were used.

Results. Significant register differences (p < 0.001) emerged. Linguistics favoured [Reportative E + Hedge M] (14.2 vs 2.1 / 1k words; LL = 89.4), reflecting engagement with scholarly discourse. Biology preferred [Inferential E + High Certainty M] (12.8 vs 3.7 / 1k words; LL = 103.1), aligning with data-driven claims. Markers were syntactically closer in biology (M = 1.8 vs 3.2 words; p < 0.01, d = 1.15).

Research implications. E-M configurations are core to register-specific ‘epistemic grammars’ shaping knowledge claims. Findings refine SFL models by linking context with the selection of combined interpersonal resources, illuminate disciplinary epistemologies, and inform discourse analysis and academic writing pedagogy.

About the Author

N. V. Malkova
Prince Alexander Nevsky Military University of the Ministry of Defense of Russian Federation
Russian Federation

Natalya V. Malkova (Moscow) – Cand. Sci. (Education), Assoc. Prof., Department of Foreign Languages

Moscow



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