Together apart: field notes as artefacts of collaborative ethnography.

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Title: Together apart: field notes as artefacts of collaborative ethnography.
Authors: Safronov, Petr1 peter.safronov@gmail.com, Bochaver, Alexandra2, Nisskaya, Anastasia2, Koroleva, Diana2
Source: Ethnography & Education. Jan2020, Vol. 15 Issue 1, p109-121. 13p.
Subject Terms: *Ethnic studies, *Digital communications, *Computer-aided design, *Educational background, *Electronic data processing
Abstract: This article is drawn from the authors' first experience as school ethnographers who gathered data on eleven- and twelve-year old children in a Moscow school. The focus is on data processing in ethnographic writing. The paper addresses the challenges of making field notes in a collective consisting of researchers with different professional and personal backgrounds. Based on the theories of digitally mediated communication and the accounts of qualitative research as assemblage it examines how collaboration emerges through joint electronic creation of ethnographic field notes. The notion of artefact stemming from theories of computer-aided communication comprises the nature of field notes as complex objects, documenting both the field and the process of collaborative writing. Examples of artefacts and respective reporting strategies are provided. The authors conclude with a discussion of sequences of their approach for further development of the practices of digitally mediated collaborative writing in ethnography. [ABSTRACT FROM AUTHOR]
Copyright of Ethnography & Education is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Together apart: field notes as artefacts of collaborative ethnography.
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  Data: <searchLink fieldCode="JN" term="%22Ethnography+%26+Education%22">Ethnography & Education</searchLink>. Jan2020, Vol. 15 Issue 1, p109-121. 13p.
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  Data: *<searchLink fieldCode="DE" term="%22Ethnic+studies%22">Ethnic studies</searchLink><br />*<searchLink fieldCode="DE" term="%22Digital+communications%22">Digital communications</searchLink><br />*<searchLink fieldCode="DE" term="%22Computer-aided+design%22">Computer-aided design</searchLink><br />*<searchLink fieldCode="DE" term="%22Educational+background%22">Educational background</searchLink><br />*<searchLink fieldCode="DE" term="%22Electronic+data+processing%22">Electronic data processing</searchLink>
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  Data: This article is drawn from the authors' first experience as school ethnographers who gathered data on eleven- and twelve-year old children in a Moscow school. The focus is on data processing in ethnographic writing. The paper addresses the challenges of making field notes in a collective consisting of researchers with different professional and personal backgrounds. Based on the theories of digitally mediated communication and the accounts of qualitative research as assemblage it examines how collaboration emerges through joint electronic creation of ethnographic field notes. The notion of artefact stemming from theories of computer-aided communication comprises the nature of field notes as complex objects, documenting both the field and the process of collaborative writing. Examples of artefacts and respective reporting strategies are provided. The authors conclude with a discussion of sequences of their approach for further development of the practices of digitally mediated collaborative writing in ethnography. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Ethnography & Education is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/17457823.2019.1600154
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              Text: Jan2020
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