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Gender bias in journals of gender studies

Author

Listed:
  • Hildrun Kretschmer

    (University of Applied Sciences
    COLLNET Center)

  • Ramesh Kundra
  • Donald deB. Beaver

    (Williams College)

  • Theo Kretschmer

    (COLLNET Center)

Abstract

The causes of gender bias favoring men in scientific and scholarly systems are complex and related to overall gender relationships in most of the countries of the world. An as yet unanswered question is whether in research publication gender bias is equally distributed over scientific disciplines and fields or if that bias reflects a closer relation to the subject matter. We expected less gender bias with respect to subject matter, and so analysed 14 journals of gender studies using several methods and indicators. The results confirm our expectation: the very high position of women in co-operation is striking; female scientists are relatively overrepresented as first authors in articles. Collaboration behaviour in gender studies differs from that of authors in PNAS. The pattern of gender studies reflects associations between authors of different productivity, or “masters” and “apprentices” but the PNAS pattern reflects associations between authors of roughly the same productivity, or “peers”. It would be interesting to extend the analysis of these three-dimensional collaboration patterns further, to see whether a similar characterization holds, what it might imply about the patterns of authorship in different areas, what those patterns might imply about the role of collaboration, and whether there are differences between females and males in collaboration patterns.

Suggested Citation

  • Hildrun Kretschmer & Ramesh Kundra & Donald deB. Beaver & Theo Kretschmer, 2012. "Gender bias in journals of gender studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 135-150, October.
  • Handle: RePEc:spr:scient:v:93:y:2012:i:1:d:10.1007_s11192-012-0661-5
    DOI: 10.1007/s11192-012-0661-5
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    References listed on IDEAS

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    1. Kretschmer, Hildrun & Kretschmer, Theo, 2007. "Lotka's distribution and distribution of co-author pairs’ frequencies," Journal of Informetrics, Elsevier, vol. 1(4), pages 308-337.
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    Citations

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    Cited by:

    1. James Hartley & Guillaume Cabanac, 2014. "Do men and women differ in their use of tables and graphs in academic publications?," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1161-1172, February.
    2. Verónica Amarante & Marisa Bucheli & María Inés Moraes & Tatiana Pérez, 2021. "Women in Research in Economics in Uruguay," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 40(84), pages 763-790, October.
    3. Loarne-Lemaire, Séverine Le & Bertrand, Gaël & Razgallah, Meriam & Maalaoui, Adnane & Kallmuenzer, Andreas, 2021. "Women in innovation processes as a solution to climate change: A systematic literature review and an agenda for future research," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    4. Hildrun Kretschmer & Theo Kretschmer, 2013. "Gender bias and explanation models for the phenomenon of women’s discriminations in research careers," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(1), pages 25-36, October.
    5. Amarante, Veronica & Zurbrigg, Julieta, 2022. "The marginalization of southern researchers in Development," World Development Perspectives, Elsevier, vol. 26(C).
    6. Aleksandra Cislak & Magdalena Formanowicz & Tamar Saguy, 2018. "Bias against research on gender bias," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 189-200, April.
    7. Clemens B. Fell & Cornelius J. König, 2016. "Is there a gender difference in scientific collaboration? A scientometric examination of co-authorships among industrial–organizational psychologists," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 113-141, July.
    8. Hajar Sotudeh & Nahid Khoshian, 2014. "Gender differences in science: the case of scientific productivity in Nano Science & Technology during 2005–2007," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 457-472, January.
    9. Bulent Ozel & Hildrun Kretschmer & Theo Kretschmer, 2014. "Co-authorship pair distribution patterns by gender," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 703-723, January.
    10. Matthias Potthoff & Fabian Zimmermann, 2017. "Is there a gender-based fragmentation of communication science? An investigation of the reasons for the apparent gender homophily in citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 1047-1063, August.
    11. Kretschmer, Hildrun & Beaver, Donald deB. & Ozel, Bulent & Kretschmer, Theo, 2015. "Who is collaborating with whom? Part I. Mathematical model and methods for empirical testing," Journal of Informetrics, Elsevier, vol. 9(2), pages 359-372.
    12. Kretschmer, Hildrun & Beaver, Donald deB. & Ozel, Bulent & Kretschmer, Theo, 2015. "Who is collaborating with whom? Part II. Application of the methods to male and to female networks," Journal of Informetrics, Elsevier, vol. 9(2), pages 373-384.
    13. González-Álvarez, Julio & Cervera-Crespo, Teresa, 2017. "Research production in high-impact journals of contemporary neuroscience: A gender analysis," Journal of Informetrics, Elsevier, vol. 11(1), pages 232-243.
    14. Donald deB. Beaver, 2012. "Quantity is only one of the qualities," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 33-39, October.

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    More about this item

    Keywords

    Gender bias; Co-operation; Social networks; Co-authorship; Collaboration patterns;
    All these keywords.

    JEL classification:

    • C0 - Mathematical and Quantitative Methods - - General
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions

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