Background: The cognitive load involved in research article (RA) reading can be overwhelming for L2 novice readers. RA section headings can be used as signals to help novices focus on essential information related to their learning goals to reduce extraneous cognitive processing. There is a need to examine RA macrostructures to inform RA reading instruction. Literature review: RAs do not always follow the Introduction-Methods-Results-Discussion (IMRD) model. Previous research has examined the macrostructure of articles in disciplines such as computer science, applied linguistics, and pure mathematics, but few have investigated the macrostructure of economics RAs. Research questions: 1. Are there any sections frequently used in economics articles apart from the conventional sections? 2. If yes, what are the views of expert economics RA readers on the communicative functions and propositional content of the newly identified sections of economics RAs? Research methods: Eighty RAs were collected from five economics journals using stratified random sampling. Following Yang and Allison's macrostructure analysis method, we conducted an analysis of the overall structure of the RAs based on section headings and the function and content of each section. Results: Compared with the IMRD model, we found six new section types: Background, Theoretical Model, Econometric Model, Robustness, Mechanisms, and Application. Interviews were conducted to explore expert RA readers' genre knowledge on the newly identified sections. Conclusion: The findings can be useful for RA reading and writing instruction and future research on part-genres of economics articles.

Background: Corporate social responsibility (CSR) reports are one of the vehicles for developing corporate images, namely, the cognitive representation of a company perceived by the concerned stakeholders. It would be interesting to compare the CSR reports of companies of the world's two largest economies: the US and China. Literature review: Previous studies of CSR reports tend to highlight their lexicogrammatical, semantic, and functional features at the discursive level, but few studies have examined the cognitive images that companies intend to develop at the level of conceptual structure (knowledge representation). This study investigates metaphor use as a discursive and cognitive strategy for developing corporate images in Chinese and American CSR reports from the perspective of corpus-based conceptual metaphor analysis, particularly based on the concept of genre-specific metaphors, the metaphors used to conventionally construe notions for a certain communicative purpose achieved by a particular discourse community. Research questions: 1. What are the major concerns of Chinese and American CSR reports? 2. What are the genre-specific metaphors used to construe major concerns of Chinese and American CSR reports? 3. What do the genre-specific metaphors reveal about the corporate images of Chinese and US companies? Are there differences in developing corporate images between Chinese and American CSR reports? Methodology: We collected CSR reports of the top companies in China and the US, identified genre-specific linguistic and conceptual metaphors, and conducted comparative analysis of metaphor-based corporate images. Results and conclusions: The conceptual metaphors genre-specific to CSR reports are businesses are objects, business is war, business is a journey, and business competition is competitive games/sports. Furthermore, CSR reports of both countries share most genre-specific metaphor parings and thus nearly the same mappings, which contribute to building corporate images of being economically competitive, ethically cooperative, and environmentally responsible. Although both stress self-development and taking a leading position, American companies seem to pay more attention to external cooperation with others. On the other hand, Chinese companies seem to stress internal cooperation and a well-organized hierarchy. Admittedly, this study may be limited in terms of analyzing only genre-specific metaphors and not balancing sector types of the companies in the two corpora.