Human-mediated Classification

Human-Mediated Classification is a knowledge classification method in which human expertise and judgment serve as the primary mechanism for determining category membership, distinguishing it from algorithmic or automated classification approaches by relying on intentional, context-sensitive interpretation by domain specialists.

7

Publications

385

Citations

28

Authors

9

Institutions

Publications per year

2017–2026

3

Variants

Intellectual Classification

Authors

28

  1. SE
    Sarah Ellis

    University of Lincoln, United Kingdom

    1 publications · 35 citations

    1

    h-index

  2. WR
    Wolff‐Michael Roth

    University of Victoria, Canada

    1 publications · 54 citations

    1

    h-index

  3. SC
    Simona Cannas

    University of Milan, Italy

    1 publications · 44 citations

    1

    h-index

  4. SN
    Stavros Ntalampiras

    University of Milan, Italy

    1 publications · 44 citations

    1

    h-index

  5. GC
    Geoffrey C. Bowker

    University of California San Diego, United States

    1 publications · 154 citations

    1

    h-index

1–5 of 28

Venues

  1. Big Data & Society

    1 publications · 154 citations

    1

    h-index

  2. Animals

    1 publications · 44 citations

    1

    h-index

  3. Journal of Pacific History

    1 publications · 36 citations

    1

    h-index

  4. Proceedings of the ACM on Human-Computer Interaction

    PACMHCI · 1 publications · 34 citations

    1

    h-index

  5. Social Studies of Science

    SSS · 1 publications · 54 citations

    1

    h-index

1–5