Abstract

This paper discusses the role of bias and uncertainty in the FLAME project (Framing the Late Antique and Early Medieval Economy) at Princeton University. FLAME is a large Digital Humanities project focused on collecting and storing data on coin minting and circulation in west Afro-Eurasia from 325 to 750 CE, roughly coinciding with the period of transition between the late antique and early medieval periods. The overarching goal is historical – that is, we wish to be able to say something new about how the world of late antiquity and the medieval period really was. However, in the process of building this database, and its accompanying online tools, we have also observed that the data is difficult and problematic. This paper, then, is an account of some of these historiographical and methodological issues in the form of three case studies (Britain, France, and Ukraine) and a short discussion of strategies that FLAME employs to communicate these biases to users, who benefit from a transparent discussion of messiness and difficulty in the data.
 The paper proceeds in seven sections, of which the first is an introduction. Section Two presents basic technical details of the project, such as its database implementation (MySQL) and its online visualization systems (ArcGIS), access to which can be found at https://flame.princeton.edu. Section Three discusses the historiographic questions at stake, distinguishing between Primary Bias (inherent in materials themselves) and Secondary Bias (particular to national and political contexts).
 Section Four, Five, and Six are each devoted to a separate case study: Britain, France, and Ukraine. Each discusses FLAME's data on that region and briefly touches upon contextual factors that may bias regional data. Thus, Section Four discusses Britain, with much analysis focused on the role of the Portable Antiquities Scheme in incentivizing reporting of found antiquities, and its effects on coin data. Section Five discusses France, where FLAME records many coin finds, but from a limited time period (primarily from Merovingian states). Section Six discusses the situation in Ukraine, where we were helped by existing scholarly resources (such as the coin inventories of Kropotkin), but where cultural heritage preservation suffers from weak state enforcement and where much scholarship suffers from spotty recording practices, and often outright theft of national treasures, going back to the imperial Russian period. Section Seven concludes the paper, noting that such methodological and second-order discussion of bias is a critical desideratum for the Digital Humanities as it matures into its second decade.

Highlights

  • This paper discusses the role of bias and uncertainty in the FLAME project (Framing the Late Antique and Early Medieval Economy) at Princeton University

  • We looked at three regions covered in the FLAME database

  • To concentrate on the historiographic questions that were raised in the course of gathering and encoding FLAME’s data (Secondary Biases), because this is the other, less well-known, vector by which such inter-regional differences emerged in FLAME – that is, our data is afflicted by systematic, long-term biases that manifest primarily at the national level

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Summary

Introduction

This paper discusses the role of bias and uncertainty in the FLAME project (Framing the Late Antique and Early Medieval Economy) at Princeton University. In the process of building this database, and its accompanying online tools, we have observed that the data is difficult and problematic This is undoubtedly true of all Digital Humanities data, but we felt – given the breadth of the project – that we were in a good position to discuss these biases. This paper, is an account of some of these through three case studies (Britain, France, and Ukraine) and a short discussion of strategies (some only being implemented) to communicate these biases to users, who will benefit from a transparent discussion of messiness and difficulty in the data.

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