Effects of idealized cognitive models by Lakoff

For Lakoff, prototype effects can be explained in large part due to the effects of idealized cognitive models. That is, domains are organized with an ideal notion of the world that may or may not fit reality. For example, the word "bachelor" is commonly defined as "unmarried adult male". However, this concept has been created with a particular ideal of what a bachelor is like: an adult, uncelibate, independent, socialized, and promiscuous. Reality might either strain the expectations of the concept, or create false positives. That is, people typically want to widen the meaning of "bachelor" to include exceptions like "a sexually active seventeen-year-old who lives alone and owns his own firm" (not technically an adult but seemingly still a bachelor), and this can be considered a kind of straining of the definition. Moreover, speakers would tend to want to exclude from the concept of bachelor certain false positives, such as those adult unmarried males that don't bear much resemblance to the ideal: i.e., the Pope, or Tarzan.^[3] Prototype effects may also be explained as a function of either basic-level categorization and typicality, closeness to an ideal, or stereotyping.

So viewed, prototype theory seems to give an account of category structure. However, there are a number of criticisms of this interpretation of the data. Indeed, Rosch and Lakoff, themselves chief advocates of prototype theory, have emphasized in their later works that the findings of prototype theory do not necessarily tell us anything about category structure. Some theorists in the cognitive semantics tradition have challenged both classical and prototype accounts of category structure by proposing the dynamic construal account, where category structure is always created "on-line"—and so, that categories have no structure outside of the context of use.

In traditional semantics, the meaning of a sentence is the situation it represents, and the situation can be described in terms of the possible world that it would be true of. Moreover, sentence meanings may be dependent uponpropositional attitudes: those features that are relative to someone's beliefs, desires, and mental states. The role of propositional attitudes in truth-conditional semantics is controversial.^[4] However, by at least one line of argument, truth-conditional semantics seems to be able to capture the meaning of belief-sentences like "Frank believes that the Red Sox will win the next game" by appealing to propositional attitudes. The meaning of the overall proposition is described as a set of abstract conditions, wherein Frank holds a certain propositional attitude, and the attitude is itself a relationship between Frank and a particular proposition; and this proposition is the possible world where the Red Sox win the next game.

Still, many theorists have grown dissatisfied with the inelegance and dubious ontology behind possible-worlds semantics. An alternative can be found in the work of Gilles Fauconnier. For Fauconnier, the meaning of a sentence can be derived from "mental spaces". Mental spaces are cognitive structures entirely in the minds of interlocutors. In his account, there are two kinds of mental space. The base space is used to describe reality (as it is understood by both interlocutors). Space builders (or built space) are those mental spaces that go beyond reality by addressing possible worlds, along with temporal expressions, fictional constructs, games, and so on.^[2] Additionally, Fauconnier semantics distinguishes between roles and values. A semantic role is understood to be description of a category, while values are the instances that make up the category. (In this sense, the role-value distinction is a special case of the type-token distinction.)

Fauconnier argues that curious semantic constructions can be explained handily by the above apparatus. Take the following sentence:

1. In 1929, the lady with white hair was blonde.

The semanticist must construct an explanation for the obvious fact that the above sentence is not contradictory. Fauconnier constructs his analysis by observing that there are two mental spaces (the present-space and the 1929-space). His access principle supposes that "a value in one space can be described by the role its counterpart in another space has, even if that role is invalid for the value in the first space". So, to use the example above, the value in 1929-space is the blonde, while she is being described with the role of the lady with white hair in present-day space.

As we have seen, cognitive semantics gives a treatment of issues in the construction of meaning both at the level of the sentence and the level of the lexeme in terms of the structure of concepts. However, it is not entirely clear what cognitive processes are at work in these accounts. Moreover, it is not clear how we might go about explaining the ways that concepts are actively employed in conversation. It appears to be the case that, if our project is to look at how linguistic strings convey different semantic content, we must first catalogue what cognitive processes are being used to do it. Researchers can satisfy both requirements by attending to theconstrual operations involved in language processing—that is to say, by investigating the ways that people structure their experiences through language.

Language is full of conventions that allow for subtle and nuanced conveyances of experience. To use an example that is readily at hand, framing is all-pervasive, and it may extend across the full breadth of linguistic data, extending from the most complex utterances, to tone, to word choice, to expressions derived from the composition of morphemes. Another example is image-schemata, which are ways that we structure and understand the elements of our experience driven by any given sense.

According to linguists William Croft and D. Alan Cruse, there are four broad cognitive abilities that play an active part in the construction of construals. They are: Attention/salience, Judgment/comparison, Situatedness, and Constitution/gestalt. Each general category contains a number of subprocesses, each of which helps to explain the ways we encode experience into language in some unique way.

Date: 2016-01-03; view: 1196