分析科学论文中主观不确定性表达的差异及其影响
Measuring and Analyzing Subjective Uncertainty in Scientific Communications
- 通过语言风格量化科学家表达的主观不确定性
- 发现不同学科、年份和地区的不确定性表达差异显著
- 揭示语言不确定性与引用量、作者特征等指标的相关性
科学发现的不确定性通常通过统计指标(如p值、置信区间)报告。但作者在表述中使用的语言本身也携带主观不确定性,这类语言不确定性受写作风格影响,可能影响科学传播效果。本文聚焦科学家群体,跨学科、跨时间与地理区域分析主观不确定性表达水平及其影响。研究发现,主观不确定性在不同学科、发表年份和地域间存在显著差异,并与作者数量、性别分布、领域中心性、引用量等文献计量指标相关。这些模式有助于识别不同科学社群的语言规范,促进对科学交流中主观表达的理解。
原文摘要 · Abstract (English)
Uncertainty of scientific findings are typically reported through statistical metrics such as $p$-values, confidence intervals, etc. The magnitude of this objective uncertainty is reflected in the language used by the authors to report their findings primarily through expressions carrying uncertainty-inducing terms or phrases. This language uncertainty is a subjective concept and is highly dependent on the writing style of the authors. There is evidence that such subjective uncertainty influences the impact of science on public audience. In this work, we turned our focus to scientists themselves, and measured/analyzed the subjective uncertainty and its impact within scientific communities across different disciplines. We showed that the level of this type of uncertainty varies significantly across different fields, years of publication and geographical locations. We also studied the correlation between subjective uncertainty and several bibliographical metrics, such as number/gender of authors, centrality of the field's community, citation count, etc. The underlying patterns identified in this work are useful in identification and documentation of linguistic norms in scientific communication in different communities/societies.
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