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Full Title
Scavenger ethnographic harvester: machine supported processing of ethnographic data KEYWORDS Harvesting, Multi-media, Structuring ethnographies, Widening access, Techniques SUMMARY Scavenger is a simple but powerful approach that supports the direct recovery or "reclamation" of data from ethnographic reports and original source materials. We do not utilise fully automated grammatical analysis techniques due to issues relating to accuracy, scalability and generalisability of such approaches. Rather we prefer to keep the human "in the loop" by providing tools to enhance and augment the activities of a human analyst. To support this process, the tool provides mechanisms for the selection of fragments of media from original source documents and the population of the structured models using a specialised "cut and paste" mechanism. The aim of Scavenger is to ease the processes of ordering, structuring and tagging the content of digitised original source material. The overall process of modelling should be viewed as a human mediated "harvesting" from existing electronic documents. Support is provided for the importation of electronic texts, hand written notes, photographs, diagrams, scanned artifacts and audio files.
Figure 1: Selecting images (the selections are highlighted in orange) Scavenger is based on the notion of atomic entities, each of which will have one or more of the following elements: o Mixed media name - A human readable unique identifier
consisting of a combination of text and images. Thus any model which can be composed on entities and relationships may be represented by and operated upon using the Scavenger tool. Scavenger has been used successfully with the technique situation modelling and the tool Strider LINKS More information about Scavenger harvesting Strider configuration modelling and analysis approach PAPERS Lock, S., "The management of socio-technical systems using configuration modelling", Human Systems Management Vol 23(1), pp.29-47, 2004 Lock, S., "The Scavenger Approach for Supporting the Qualitative Analysis of Mixed Media Original Sources", under review for the International Journal of Qualitative Methods Mackie, J., Lock, S., "Supporting the Development of Healthcare Systems Through Situation Modelling", 3rd International Conference on The Management of Healthcare & Medical Technology, Warwick, September 2003 Author Simon Lock (lock at comp dot lancs dot ac dot uk)
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