AI辅助写作中的早期认知定论

中文摘要 AI 辅助

语言模型可以解决写作者当前的组织问题，而写作者自身为解决问题所需的建构工作尚未完成。我将此称为“早期认知定论”。所提供的组织满足了当时支配该段落的全部需求，然而据此推进可能会取代写作者本可通过自身工作来改变这些需求或形成进一步组织的能力。我区分了完成一个已可形成的组织所需的协调，与改变哪些组织在根本上可形成的建构。在第一种情况下，定论改变了将现有组织提升至充分性所需的相对工作量。在第二种情况下，它可能消除了使另一种组织得以形成所需的工作。即使所提供的解决与持续的建构留下了相同的可见资格，写作者探究中的不同依赖关系可能支持不同的后续组织。当写作者在问题尚未解决时处理模型建议，模型建议也能促进这一发展。在理论性和探索性写作中，达到局部充分性所发展的关系有助于决定写作者日后能够捍卫或发展的内容。因此，对当前段落已充分的合理判断，可能在该生成性工作发生之前就使进一步探究变得可有可无。

英文摘要

In trying to complete a passage, an author can make connections among her materials that change what she can argue and the demands the argument must meet. A language model can supply a passage that does the work required at that point in her argument. Accepting it can end her own attempts before those connections have developed. I call this interruption early epistemic settlement. It can occur even when she fully understands the response and correctly judges it adequate for the passage's present role in the argument. The answer can satisfy the desire for resolution that kept her at work. Returning to her unfinished attempt would take more effort, and she may be unable to anticipate what she could achieve by continuing it. With repeated assistance, accepted answers shape what the writer asks next and which relations she goes on to develop. Useful answers can thus sustain inquiry while cutting short the work through which an author could form arguments that accommodate demands she has yet to recognize.

发表机构

• The University of Hong Kong（香港大学）

机构由 AI 辅助整理，请以论文原文为准。