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Encountering Alan Wilson, filling the gaps in data sets (from the knowns to the unknowns) … and disciplinary history/progress

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)301-318
Number of pages18
JournalInterdisciplinary Science Reviews
Volume44
Issue number3-4
Early online date27 Nov 2019
DOIs
DateAccepted/In press - 1 Feb 2019
DateE-pub ahead of print (current) - 27 Nov 2019

Abstract

This essay outlines my interactions with Alan Wilson over more than four decades, focusing on my early work on gravity models and then my adoption of his entropy-maximizing procedure in the study of disaggregated voting patterns. Using that example, the essay explores its implications for the study of disciplinary history.

    Research areas

  • Alan Wilson, disciplinary history, entropy-maximising, gravity models, voting patterns

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  • Full-text PDF (author’s accepted manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Taylor & Francis at https://doi.org/10.1080/03080188.2019.1670433 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 324 KB, PDF document

    Embargo ends: 27/11/20

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