The aim of this quantitative and qualitative study is to compare inclusive and exclusive self-reference in a bilingual English-Spanish corpus of biomedical research articles. The study combines corpus techniques with move analysis to determine where authors resort to first-person reference in Discussion sections. Quantitative analysis showed that Spanish writers selected between exclusive and mixed inclusive-exclusive perspectives equally whereas the exclusive perspective predominated in the English-language articles. Major differences between languages were observed for overall use and for statements of results, comparison of current and previous findings, and metatext. From a cross-disciplinary viewpoint, biomedical research articles exhibited less self-promotion than previously reported for biology. Qualitative analysis revealed that first-person verbs in English were frequently associated with self-promotion whereas English possessives and all exclusive use in Spanish served to attribute responsibility for statements and to harmonise the multiple voices in the polyphonic discourse of biomedical Discussions. The study provides further evidence for cross-cultural and cross-disciplinary diversity in academic and scientific discourse.
2024. Use of Language By generative AI Tools in Mathematical Problem Solving: The Case of ChatGPT. African Journal of Research in Mathematics, Science and Technology Education 28:2 ► pp. 222 ff.
Jin, Bixi
2021. A Multi-Dimensional Analysis of Research Article Discussion Sections in an Engineering Discipline: Corpus Explorations and Scientists’ Perceptions. Sage Open 11:4
Prentice, Sheryl, Jo Knight, Paul Rayson, Mahmoud El Haj & Nathan Rutherford
2021. Stance markers in English medical research articles and newspaper opinion columns: A comparative corpus-based study. PLOS ONE 16:3 ► pp. e0247981 ff.
2020. Finding voice in biology: A diachronic analysis of self-mention in the discussions of an L2 scholar. Journal of English for Academic Purposes 47 ► pp. 100889 ff.
This list is based on CrossRef data as of 6 january 2025. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers.
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