Semantics in the time of coronavirus
“Virus”, “bacteria”, “germs”, “disease” and related concepts
Bibliographic Data
| ID | 22248121 |
|---|---|
| Authors | C Goddard (0000-0003-2523-2855, Griffith University), A Wierzbicka (0000-0002-6074-7865, Australian National University) |
| Year | 2021 |
| Volume | 25 |
| Issue | 1 |
| Pages | 7-23 |
| Publication date | 2021-12-15 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Russian Journal of Linguistics (JOURNAL) |
| Journal identifiers | ISSN: 2686-8024 • E-ISSN: 2687-0088 |
| Publisher | Peoples' Friendship University of Russia (PUBLISHER • RU) |
| DOI | 10.22363/2687-0088-2021-25-1-7-23 |
| OpenAlex | W3147032232 |
| Language | EN |
| Citations received | 9 |
| References cited | 1 |
This study proposes Natural Semantic Metalanguage semantic explications for the English words virus (in two senses), bacteria, germs, and for the related words sick, ill, and disease. We concentrate on their nave or folk meanings (Apresjan 1992) in everyday English, as opposed to scientific or semi-scientific meanings. In this way, the paper makes a start on uncovering the folk epidemiology embedded in the English lexicon. The semantics of words like virus, bacteria and germs is not, however, a purely academic matter. It is also a matter of effective health education and health communication. To reach people at a time of an epidemic, explanations need to connect with ordinary peoples ways of thinking and speaking. This paper argues that the simple and cross-translatable words of NSM, and minimal languages based on it, can be effective tools not only for linguistic semantics but also for education and communication everywhere - at the local school and in the world at large
Lexical item · Lexical Semantics · Lexicon · Linguistics · Metalanguage · Programming language · Sociology · Communication · Computer Science · Empathy and Medical Education · History · Humor Studies and Applications · Language, Metaphor, and Cognition · Philosophy
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| Unique citing works | 9 |
|---|---|
| Citations per year | 1,8 |
| Citation span | 2021 - 2025 (5) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 7 |