Documenting Practices: The indexical centering of medical records

This paper explores how organizational members use documents to share their knowledge within and across work settings. I suggest that organizational studies of distributed knowledge sharing and information systems would greatly benefit from the linguistic analysis of communicative practices. Specifically, the paper highlights the notion of indexical centering as formulated by the linguistic anthropologist William Hanks and demonstrates its analytical power in studying documenting as a communicative practice. Drawing on a 15-month, multi-sited ethnographic study in several pediatric healthcare settings, the paper focuses on how two doctors compose and use two medical histories found in two distinct medical information systems. The analysis suggests that the doctors use documents to index the temporal, spatial, and participatory dimensions of their knowledge sharing. They do so by indexing, on the one hand, the participants, times and places for their communicative practices and, on the other hand, the participants, times and places of their general care practices. The indexical analysis allows us to perceive documents, as more than mere vessels for knowledge transfer among organizational members, but as an integrated part of how people structure their work practices and situate their knowledge sharing in complex distributed organizational settings

Boundary-spanning documents in online communities

Online communities bring together people with varied access to and understanding of the work at hand, who must collaborate through documents of various kinds. We develop a framework articulating the characteristics of documents supporting collaborators with asymmetric access to knowledge versus those with symmetric knowledge. Drawing on theories about document genre, boundary objects and provenance, we hypothesize that documents supporting asymmetric groups are likely to articulate or prescribe their own 1) purpose, 2) context of use, 3) content and form and 4) provenance in greater detail than documents used by people with symmetric access to knowledge. We are testing these hypotheses through content analysis of documents and instructions from a variety of free/libre open source projects. We present preliminary findings consistent with the hypotheses developed. The completed study will suggest new directions for research on communications in online communities, as well as advice for those supporting such communities

Coordinating Advanced Crowd Work: Extending Citizen Science

Crowdsourcing work with high levels of coupling between tasks poses challenges for coordination. This paper presents a study of an online citizen science project that involved volunteers in such tasks: not just analyzing bulk data but also interpreting data and writing a paper for publication. However, extending the reach of citizen science adds tasks with more dependencies, which calls for more elaborate coordination mechanisms but the relationship between the project and volunteers limits how work can be coordinated. Contrariwise, a mismatch between dependencies and available coordination mechanisms can be expected to lead to performance problems. The results of the study offer recommendations for design of crowdsourcing of more complex tasks

Building an Apparatus: Refractive, Reflective, and Diffractive Readings of Trace Data

We propose a set of methodological principles and strategies for the use of trace data, i.e., data capturing performances carried out on or via information systems, often at a fine level of detail. Trace data comes with a number of methodological and theoretical challenges associated with the inseparable nature of the social and material. Drawing on Haraway and Barad’s distinctions among refraction, reflection, and diffraction, we compare three approaches to trace data analysis. We argue that a diffractive methodology allows us to explore how trace data are not given but created through the construction of a research apparatus to study trace data. By focusing on the diffractive ways in which traces ripple through an apparatus, it is possible to explore some of the taken-for-granted, invisible dynamics of sociomateriality. Equally important, this approach allows us to describe what distinctions emerge and when, within entwined phenomena in the research process. Empirically, we illustrate the guiding methodological principles and strategies by analyzing trace data from Gravity Spy, a crowdsourced citizen science project on Zooniverse.org. We conclude by suggesting that a diffractive methodology helps us draw together quantitative and qualitative research practices in new and productive ways that allow us to study and design for the entwined and dynamic sociomaterial practices found in contemporary organizations

Blending Machine and Human Learning Processes

Citizen science projects face a dilemma in relying on contributions from volunteers to achieve their scientific goals: providing volunteers with explicit training might increase the quality of contributions, but at the cost of losing the work done by newcomers during the training period, which for many is the only work they will contribute to the project. Based on research in cognitive science on how humans learn to classify images, we have designed an approach to use machine learning to guide the presentation of tasks to newcomers that help them more quickly learn how to do the image classification task while still contributing to the work of the project. A Bayesian model for tracking volunteer learning is presented

The Genie in the Bottle: Different Stakeholders, Different Interpretations of Machine Learning

We explore how people developing or using a system with a machine-learning (ML) component come to understand the capabilities and challenges of ML. We draw on the social construction of technology (SCOT) tradition to frame our analysis of interviews and discussion board posts involving designers and users of a ML-supported citizen-science crowdsourcing project named Gravity Spy. We extend SCOT by anchoring our investigation in the different uses of the technology. We find that the type of understandings achieved by groups having less interaction with the technology is shaped more by outside influences and less by the specifics of the system and its role in the project. This initial understanding of how different participants understand and engage with ML points to challenges that need to be overcome to help users of a system deal with the opaque position that ML often holds in a work system

Teologi der forudsætter Guds handlen

I denne artikel reflekterer jeg over nyere bud på, hvorledes der kan bedrives teologi efter postmoderniteten. Jeg tager anledning af svækkelsen af modernitetens afvisning af muligheden for kundskab om Gud til at pege på Guds handlinger i skaberværket som en forudsætning for teologiens viden og tale om Gud. Gud handler ved at skabe, gennem inkarnationen og ved Ånden i Skriften og i kirken. Viden om Gud opnås således via skaberværket og konkrete historiske hændelser, har sit epicenter i Kristus og ledes af Skriften, således som den – som theodrama – opføres af kirken. Gud handler dog også direkte på og med teologen selv. At bedrive teologi betyder derfor at tage imod, hvad Gud gør. Teologi er grundliggende den bevidstgjorte erfaring af, at verden er elsket af Gud