Javascript must be enabled to continue!
Risk and Quantification: A Linguistic Study
View through CrossRef
AbstractIn risk analysis and research, the concept of risk is often understood quantitatively. For example, risk is commonly defined as the probability of an unwanted event or as its probability multiplied by its consequences. This article addresses (1) to what extent and (2) how the nounriskis actually used quantitatively. Uses of the nounriskare analyzed in four linguistic corpora, both Swedish and English (mostly American English). In total, over 16,000 uses of the nounriskare studied in 14 random (n = 500) or complete samples (wherenranges from 173 to 5,144) of, for example, news and magazine articles, fiction, and websites of government agencies. In contrast to the widespread definition of risk as a quantity, a main finding is that the nounriskis mostly used nonquantitatively. Furthermore, when used quantitatively, the quantification is seldom numerical, instead relying on less precise expressions of quantification, such ashigh riskandincreased risk. The relatively low frequency of quantification in a wide range of language material suggests a quantification bias in many areas of risk theory, that is, overestimation of the importance of quantification in defining the concept of risk. The findings are also discussed in relation to fuzzy‐trace theory. Findings of this study confirm, as suggested by fuzzy‐trace theory, that vague representations are prominent in quantification of risk. The application of the terminology of fuzzy‐trace theory for explaining the patterns of language use are discussed.
Title: Risk and Quantification: A Linguistic Study
Description:
AbstractIn risk analysis and research, the concept of risk is often understood quantitatively.
For example, risk is commonly defined as the probability of an unwanted event or as its probability multiplied by its consequences.
This article addresses (1) to what extent and (2) how the nounriskis actually used quantitatively.
Uses of the nounriskare analyzed in four linguistic corpora, both Swedish and English (mostly American English).
In total, over 16,000 uses of the nounriskare studied in 14 random (n = 500) or complete samples (wherenranges from 173 to 5,144) of, for example, news and magazine articles, fiction, and websites of government agencies.
In contrast to the widespread definition of risk as a quantity, a main finding is that the nounriskis mostly used nonquantitatively.
Furthermore, when used quantitatively, the quantification is seldom numerical, instead relying on less precise expressions of quantification, such ashigh riskandincreased risk.
The relatively low frequency of quantification in a wide range of language material suggests a quantification bias in many areas of risk theory, that is, overestimation of the importance of quantification in defining the concept of risk.
The findings are also discussed in relation to fuzzy‐trace theory.
Findings of this study confirm, as suggested by fuzzy‐trace theory, that vague representations are prominent in quantification of risk.
The application of the terminology of fuzzy‐trace theory for explaining the patterns of language use are discussed.
Related Results
Absolute quantification in brain SPECT imaging
Absolute quantification in brain SPECT imaging
Certes malalties neurològiques estan associades amb problemes en els sistemes de neurotransmissió. Una aproximació a l'estudi d'aquests sistemes és la tomografia d'emissió SPECT (S...
Лінгвостилістичні студії Надії Бабич
Лінгвостилістичні студії Надії Бабич
In recent years linguists have become increasingly interested in the linguistic-stylistic studies of the scholars, who contributed to the formation of stylistics as a science and i...
Literature and Linguistics
Literature and Linguistics
The linguistic study of literature addresses the ways in which language is differently organized in verbal art (literature): form is added to language, altered, attenuated, and dif...
Linguistic personality in culture: research areas
Linguistic personality in culture: research areas
The article deals with the definition of linguistic personality in the context of the relationship between language and culture. Language as a cultural phenomenon in determining th...
146 IS SURTAVI RISK MODEL A STEP TOWARDS ‘TAVI RISK SCORE’: TIME TO RETHINK?
146 IS SURTAVI RISK MODEL A STEP TOWARDS ‘TAVI RISK SCORE’: TIME TO RETHINK?
Introduction
During the design of the SURTAVI trial, a new concept of risk stratification for patients with aortic stenosis, based upon age combined with a fixed ...
Artificial Intelligence and Machine Learning Used as an Enabler for Dynamic Risk Management
Artificial Intelligence and Machine Learning Used as an Enabler for Dynamic Risk Management
Abstract
Applying big data, data science, business process automation (BPA) and domain expertise to operational and project risk in the upstream O&G space, will ...
Privacy risk quantification in education data using Markov model
Privacy risk quantification in education data using Markov model
AbstractWith Big Data revolution, the education sector is being reshaped. The current data‐driven education system provides many opportunities to utilize the enormous amount of col...
Cognitive training incorporating temporal information processing improves linguistic and non-linguistic functions in people with aphasia
Cognitive training incorporating temporal information processing improves linguistic and non-linguistic functions in people with aphasia
AbstractPeople with aphasia (PWA) often present deficits in non-linguistic cognitive functions, such as executive functions, working memory, and temporal information processing (TI...

