Suppr超能文献

文本演化中的开发和探索。量化写作过程中的规划和翻译流程。

Exploitation and exploration in text evolution. Quantifying planning and translation flows during writing.

机构信息

Sony Computer Science Laboratories Rome, Joint Initiative CREF-SONY, Centro Ricerche Enrico Fermi, Rome, Italy.

Centro Ricerche Enrico Fermi, Rome, Italy.

出版信息

PLoS One. 2023 Mar 30;18(3):e0283628. doi: 10.1371/journal.pone.0283628. eCollection 2023.

Abstract

Writing is a complex process at the center of much of modern human activity. Despite appearing to be a linear process, writing conceals many highly non-linear processes. Previous research has focused on three phases of writing: planning, translation and transcription, and revision. While research has shown these are non-linear, they are often treated linearly when measured. Here, we introduce measures to detect and quantify subcycles of planning (exploration) and translation (exploitation) during the writing process. We apply these to a novel dataset that recorded the creation of a text in all its phases, from early attempts to the finishing touches on a final version. This dataset comes from a series of writing workshops in which, through innovative versioning software, we were able to record all the steps in the construction of a text. 61 junior researchers in science wrote a scientific essay intended for a general readership. We recorded each essay as a writing cloud, defined as a complex topological structure capturing the history of the essay itself. Through this unique dataset of writing clouds, we expose a representation of the writing process that quantifies its complexity and the writer's efforts throughout the draft and through time. Interestingly, this representation highlights the phases of "translation flow", where authors improve existing ideas, and exploration, where creative deviations appear as the writer returns to the planning phase. These turning points between translation and exploration become rarer as the writing process progresses and the author approaches the final version. Our results and the new measures introduced have the potential to foster the discussion about the non-linear nature of writing and support the development of tools that can lead to more creative and impactful writing processes.

摘要

写作是现代人类活动的核心,是一个复杂的过程。尽管写作表面上是一个线性过程,但它隐藏着许多高度非线性的过程。以前的研究集中在写作的三个阶段:计划、翻译和转录以及修订。虽然研究表明这些阶段是非线性的,但在测量时通常将它们视为线性的。在这里,我们引入了一些度量方法来检测和量化写作过程中计划(探索)和翻译(开发)的子周期。我们将这些方法应用于一个新的数据集,该数据集记录了从早期尝试到最终版本的完成,文本创作的所有阶段。该数据集来自一系列写作研讨会,通过创新的版本控制软件,我们能够记录文本构建过程中的所有步骤。61 名初级研究人员以科学论文的形式,旨在为普通读者撰写科学论文。我们将每篇论文记录为一个写作云,定义为一种复杂的拓扑结构,用于捕捉论文本身的历史。通过这个独特的写作云数据集,我们展示了一种写作过程的表示,它量化了写作过程的复杂性以及作者在草稿和时间上的努力。有趣的是,这种表示突出了“翻译流”的阶段,在这个阶段,作者改进了现有想法,以及探索阶段,在这个阶段,创造性的偏差出现,因为作者回到了计划阶段。随着写作过程的进展和作者接近最终版本,翻译和探索之间的这些转折点变得越来越少。我们的结果和引入的新度量方法有可能促进关于写作非线性本质的讨论,并支持开发能够带来更具创造性和更有影响力的写作过程的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/026d/10062643/9885953a34da/pone.0283628.g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验