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Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions
Published on: June 21, 2019
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The form of good.
1University of Bristol, Bristol, UK.
Summary
Philosophers debate the word "good." This study argues against uniform interpretations of "good," showing apparent differences in sentences are genuine, not illusory. Alternative analyses offer a better understanding of its varied use.
Area of Science:
- Philosophy of Language
- Linguistics
- Semantics
Background:
- Philosophical uniformity theses propose that sentences containing "good" share a consistent underlying structure.
- Apparent syntactic and semantic variations across different uses of "good" (e.g., "good knife," "good with children," "good to have pets") are often considered illusory under these theses.
- A key challenge in evaluating uniformity theses is their lack of precise linguistic formulation.
Purpose of the Study:
- To provide a precise interpretation of uniformity theses regarding the word "good."
- To critically evaluate the motivation behind uniformity theses.
- To develop and deploy a strategy for opposing uniformity theses, drawing on linguistic data.
Main Methods:
- Interpreting uniformity theses as treating "good" as taking consistent arguments at a syntactic or semantic level.
- Analyzing under-appreciated data related to "tough"-adjectives to challenge uniformity.
- Developing alternative analyses such as "non-uniformity contextualism" and "relativism."
Main Results:
- The motivation for uniformity theses concerning "good" is found to be weak.
- Linguistic data, particularly concerning "tough"-adjectives, supports the rejection of uniformity.
- Alternative analyses, "non-uniformity contextualism" and "relativism," provide stronger explanations for the varied uses of "good."
Conclusions:
- The apparent syntactic and semantic differences between various "good"-constructions are genuine.
- Uniformity theses for the word "good" are not well-supported.
- Non-uniform contextual and relativistic approaches offer more accurate frameworks for understanding the semantics of "good."
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