Glocalized rhetoric practices on medical writing
Datos Bibliográficos
| ID | 21180452 |
|---|---|
| Autores | Hui-Chuan Lu 盧慧娟 (National Cheng Kung University), Wen-Li Tsou (0000-0003-4726-6255, National Cheng Kung University), Wenli Tsou 鄒文莉, Fay Chen 陳慧琴 (National Cheng Kung University) |
| Año | 1970 |
| Volumen | 69 |
| Páginas | 217-236 |
| Fecha de publicación | 1970-01-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Círculo de lingüística aplicada a la comunicación (JOURNAL) |
| Identificadores de la revista | ISSN: 1576-4737 • E-ISSN: 1576-4737 |
| Editorial | Universidad Complutense de Madrid (UCM) (PUBLISHER) |
| DOI | 10.5209/clac.55320 |
| OpenAlex | W2598640567 |
| Idioma | EN |
| Citas recibidas | 2 |
| Referencias citadas | 10 |
Facing a rapidly changing global environment, educators around the world have argued for a need to incorporate a global perspective in local educational policy making. The present study undertakes such a glocal project examining medical writing of international physicians and Taiwanese interns. In this study, the Corpus of English for Medical Purpose (CEMP) has been created. There are 50 experts’ (49,655 words) and 50 students’ (9,829 words) medical writing samples respectively. The moves and steps used between the two groups were analyzed from three linguistic features, voice form, tense, and grammatical subject. Then, a parallel corpus was consulted in an attempt to explain the rhetoric features unique to Taiwanese writers. Based on the findings, a framework is proposed to provide guidance for the instruction and learning of medical writing. The findings contribute to medical education by highlighting how the dual forces of the target and native languages shape students’ medical writing
Glocalization · Library science · Linguistics · Medical education · Medical writing · Political science · Rhetoric · Sociology · Computer Science · Discourse Analysis in Language Studies · Education, Leadership, and Health Research · Medicine · Psychology · Second Language Learning and Teaching · Artificial Intelligence
| Obras citantes distintas | 2 |
|---|---|
| Citas por año | 0,5 |
| Intervalo de citas | 2022 - 2024 (3) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 1 |