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Circumvention: On judgement as practical action
Royal College of Music in Stockholm, Department of Classical Music.
2012 (English)In: AI & Society: The Journal of Human-Centred Systems and Machine Intelligence, ISSN 0951-5666, E-ISSN 1435-5655Article in journal (Refereed) Published
Abstract [en]

The article is based on material from a series of Dialogue Seminars conducted with teachers at the Royal College of Music in Stockholm. Descriptions of processes within the master/apprentice relationships serve as an empirical base for further reflections on the nature of practical knowledge and how practical and artistic judgement can be developed.

Problems of performance cannot always be attacked head-on by discussing them directly, so a linguistic circumvention of the problem often takes place. The creation of a language agreement where metaphors and figures acquire a situation-bound meaning is an example of this kind of circumvention. This situational language agreement is created within a field of tension between teacher and student. The teachers’ judgmental process of how and when to use language within this tension field is seen as a general example of a practitioners internal balancing in the actual moment of performance. The article argues that personal judgement involves an ability to balance several incompatible extremes of approach. To gain an overview of the forces affecting a practitioner, it may be helpful to see the practitioner as handling an array of mutually exclusive poles. The image of ‘paradoxical fields’ is offered as an expression of the practitioner’s movement between these poles. Examples of paradoxical fields include planning/spontaneity in a musical performance, breadth/depth in a students’ development and the tension between lyrics and music of a song.

Place, publisher, year, edition, pages
London: Springer London, 2012.
Keywords [en]
practical knowledge, tacit knowledge, paradoxical fields, judgement fields, music, higher education, arts education, knowledge management
National Category
Educational Sciences Other Engineering and Technologies not elsewhere specified Music
Identifiers
URN: urn:nbn:se:kmh:diva-3345DOI: DOI 10.1007/s00146-012-0417-zOAI: oai:DiVA.org:kmh-3345DiVA, id: diva2:1384907
Available from: 2020-01-12 Created: 2020-01-12 Last updated: 2020-01-12

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AI & Society: The Journal of Human-Centred Systems and Machine Intelligence
Educational SciencesOther Engineering and Technologies not elsewhere specifiedMusic

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Citation style
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  • de-DE
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