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Toward best practice framing of uncertainty in scientific publications: A review of Water Resources Research abstracts

期刊

WATER RESOURCES RESEARCH
卷 53, 期 8, 页码 6744-6762

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1002/2017WR020609

关键词

uncertainty; uncertainty framing; textual analysis; rhetoric; argumentation; scientific writing

资金

  1. Academy of Finland project WASCO [305471]
  2. Emil Aaltonen Foundation
  3. Arts and Humanities Research Council (AHRC) [AH/J006033/1]
  4. L'Agence Nationale de la Recherche (ANR) project DUSUCA [ANR-14-CE29-0003-01]
  5. AHRC [AH/J006033/1] Funding Source: UKRI
  6. Arts and Humanities Research Council [AH/J006033/1] Funding Source: researchfish
  7. Agence Nationale de la Recherche (ANR) [ANR-14-CE29-0003] Funding Source: Agence Nationale de la Recherche (ANR)

向作者/读者索取更多资源

Uncertainty is recognized as a key issue in water resources research, among other sciences. Discussions of uncertainty typically focus on tools and techniques applied within an analysis, e.g., uncertainty quantification and model validation. But uncertainty is also addressed outside the analysis, in writing scientific publications. The language that authors use conveys their perspective of the role of uncertainty when interpreting a claimwhat we call here framing the uncertainty. This article promotes awareness of uncertainty framing in four ways. (1) It proposes a typology of eighteen uncertainty frames, addressing five questions about uncertainty. (2) It describes the context in which uncertainty framing occurs. This is an interdisciplinary topic, involving philosophy of science, science studies, linguistics, rhetoric, and argumentation. (3) We analyze the use of uncertainty frames in a sample of 177 abstracts from the Water Resources Research journal in 2015. This helped develop and tentatively verify the typology, and provides a snapshot of current practice. (4) We make provocative recommendations to achieve a more influential, dynamic science. Current practice in uncertainty framing might be described as carefully considered incremental science. In addition to uncertainty quantification and degree of belief (present in similar to 5% of abstracts), uncertainty is addressed by a combination of limiting scope, deferring to further work (similar to 25%) and indicating evidence is sufficient (similar to 40%)or uncertainty is completely ignored (similar to 8%). There is a need for public debate within our discipline to decide in what context different uncertainty frames are appropriate. Uncertainty framing cannot remain a hidden practice evaluated only by lone reviewers.

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