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9 - Negation
- Rodney Huddleston, University of Queensland, Geoffrey K. Pullum, University of Edinburgh, Brett Reynolds
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- Book:
- A Student's Introduction to English Grammar
- Published online:
- 20 January 2022
- Print publication:
- 25 November 2021, pp 229-240
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Summary
Negation is marked by individual words (such as ‘not’, ‘no’, ‘never’) in a variety of functions (including adjunct, determiner, and head of VP) or by affixes within a word (the suffix ‘·n’t’ or prefixes like ‘un·’ or ‘non·’). Very often there is an effect on the whole clause, and negation is usefully divided into clausal and subclausal negation. There are a number of syntactic tests for clausal negation, including the ‘not even’ test and confirmation tags. Within clausal negation a further distinction exists between verb and non-verb negation.
The grammatical system in which positive and negative contrast is called polarity, and it can be absolute (e.g., ‘no’ & ‘never’) – or approximate (e.g., ‘few’ & ‘rarely’). A number of words or larger expressions have the property of being polarity-sensitive, in the sense that they occur readily in clauses of one polarity but not of the other. Some of these occur equally well in negative and interrogative clauses. We call these non-affirmative items.
The scope of negation is the part of the sentence that the negative applies to semantically.
Silent cyber assessment framework
- S. Cartagena, V. Gosrani, J. Grewal, J. Pikinska
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- Journal:
- British Actuarial Journal / Volume 25 / 2020
- Published online by Cambridge University Press:
- 01 January 2020, e2
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- Article
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The (re)insurance industry is faced with a growing risk related to the development of information technology (IT). This growth is creating an increasingly digitally interconnected world with more and more dependence being placed on IT systems to manage processes. This is generating opportunities for new insurance products and coverages to directly address the risks that companies face. However, it is also changing the risk landscape of existing classes of business within non-life insurance where there is inherent risk of loss as a result of IT events that cannot be or have not been excluded in policy wordings or are changing the risk profile of traditional risks. This risk of losses to non-cyber classes of business resulting from cyber as a peril that has not been intentionally included (often by not clearly excluding it) is defined as non-affirmative cyber risk, and the level of understanding of this issue and the cyber peril exposure from non-cyber policies varies across the market. In contract wordings, the market has remained relatively “silent” across most lines of business about potential losses resulting from IT-related events, either by not addressing the potential issue or excluding via exclusions. Some classes of business recognise the exposure by use of write-backs. Depending on the line of business, the approach will vary as to how best to turn any “silent” exposure into a known quantity either by robust exclusionary language, pricing or exposure monitoring. This paper proposes a framework to help insurance companies address the issue of non-affirmative cyber risk across their portfolios. Whilst the framework is not intended to be an all-encompassing solution to the issue, it has been developed to help those tasked with addressing the issue to be able to perform a structured analysis of the issue. Each company’s analysis will need to tailor the basis of the framework to fit their structure and underwriting procedures. Ultimately, the framework should be used to help analysts engage with management on this issue so that the risk is understood, and any risk mitigation actions can be taken if required. In the appendix, we present a worked example to illustrate how companies could implement the framework. The example is entirely fictional, is focused on non-life specialty insurance, and is intended only to help demonstrate one possible way in which to apply the framework.