scholarly journals The metaphorical conceptualization of sadness in the Anglo-Saxon elegies

2018 ◽  
Vol 47 (2) ◽  
pp. 85-102
Author(s):  
Isabel Verdaguer ◽  
Emilia Castaño

Abstract The aim of this paper is to explore the predominant metaphorical conceptualization of sadness in three Old English elegiac monologues whose main themes are the pain and solitude of exile and separation. Taking as a starting point the Cognitive Theory of Metaphor and briefly reviewing the experimental evidence that supports the experiential grounding of our conceptualization of sadness, as well as our own previous research on the Old English expressions for emotional distress, we analyze the use of sadness metaphors in the elegies The Wanderer, The Seafarer and The Wife’s Lament. This analysis clearly shows that in the Old English period, as in present day English, sadness was largely expressed in metaphorical terms. Cold, darkness and physical discomfort were recurrent source domains in its depiction, which suggests a long-term trend in the metaphorical conceptualization of sadness, whose cognitive reality is empirically supported by experimental research.

Author(s):  
Albert E. Beaton ◽  
James R. Chromy
Keyword(s):  

2021 ◽  
Vol 38 (10) ◽  
pp. 1791-1802
Author(s):  
Peiyan Chen ◽  
Hui Yu ◽  
Kevin K. W. Cheung ◽  
Jiajie Xin ◽  
Yi Lu

AbstractA dataset entitled “A potential risk index dataset for landfalling tropical cyclones over the Chinese mainland” (PRITC dataset V1.0) is described in this paper, as are some basic statistical analyses. Estimating the severity of the impacts of tropical cyclones (TCs) that make landfall on the Chinese mainland based on observations from 1401 meteorological stations was proposed in a previous study, including an index combining TC-induced precipitation and wind (IPWT) and further information, such as the corresponding category level (CAT_IPWT), an index of TC-induced wind (IWT), and an index of TC-induced precipitation (IPT). The current version of the dataset includes TCs that made landfall from 1949–2018; the dataset will be extended each year. Long-term trend analyses demonstrate that the severity of the TC impacts on the Chinese mainland have increased, as embodied by the annual mean IPWT values, and increases in TCinduced precipitation are the main contributor to this increase. TC Winnie (1997) and TC Bilis (2006) were the two TCs with the highest IPWT and IPT values, respectively. The PRITC V1.0 dataset was developed based on the China Meteorological Administration’s tropical cyclone database and can serve as a bridge between TC hazards and their social and economic impacts.


Sign in / Sign up

Export Citation Format

Share Document