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2023
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Frontier troubles Religion of humanity Humanity, Religion of Theory of knowledge Epistemology Annals History--Authorship History--Historiography History--Criticism Historical criticism Historiographers Wickedness Evil Indubitability Large data sets Data sets, Large Relations--Foreign countries Relations (Canon law) History--Authorship History--HistoriographyCiter ce document
Piotrowski Michael, « Uncertainty as Unavoidable Good », Serveur académique Lausannois, ID : 10.4119/UNIBI/2983506
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In digital history, uncertainty is generally regarded as an unavoidable evil. One generally aims to reduce—and ideally resolve—uncertainty in data as much as possible. However, information systems are not designed to handle the absence of information; we discuss how both SQL’s seemingly simple Null marker and the TEI Guideline’s elaborate facilities for recording “certainty” fail to address the challenges posed by uncertainty. Neither is big data and a “digital historical positivism” a satisfactory answer: the causal models that underpin historical narratives do not simply emerge from a collection of facts. Here, it is necessary to distinguish between two types of uncertainty: historical uncertainty, which concerns the facts of the past, and historiographical uncertainty, which concerns the causal models constructed by historians. The latter results from different interpretations of the causal relations between the facts; given our limited knowledge of the past, it is ultimately irreducible. But it is also this uncertainty that allows us to construct the narratives we need for sense-making. We argue that in this sense uncertainty may be regarded as an unavoidable good and that we should aim to design computational frameworks that treat it as an asset rather than an obstacle.