Sharpening is the process of making a vague or imprecise concept more precise or clearly defined. It is often discussed in the context of semantic vagueness, aiming to reduce ambiguity.
The core idea is to move from a broad and ill-defined notion to a narrower, more specific one. This involves identifying the boundaries and essential characteristics of a concept.
Consider the concept of ‘baldness’. A vague definition might say someone is bald if they have very little hair. Sharpening this could involve setting a specific threshold, like less than 10% hair coverage, to create a clearer criterion.
This process is vital in:
A common challenge is that over-sharpening can lead to a concept becoming too narrow, excluding legitimate cases. It’s a balance between precision and inclusivity.
What is semantic vagueness? It refers to concepts that lack clear boundaries, making it difficult to determine if something belongs to the concept or not.
How does sharpening help? It provides stricter criteria, reducing ambiguity and facilitating more rigorous analysis and communication.
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