IDEAS home Printed from https://ideas.repec.org/a/jas/jasssj/2019-123-2.html
   My bibliography  Save this article

Grade Language Heterogeneity in Simulation Models of Peer Review

Author

Listed:

Abstract

Simulation models have proven to be valuable tools for studying peer review processes. However, the effects of some of these models’ assumptions have not been tested, nor have these models been examined in comparative contexts. In this paper, we address two of these assumptions which go in tandem: (1) on the granularity of the evaluation scale, and (2) on the homogeneity of the grade language (i.e. whether reviewers interpret evaluation grades in the same fashion). We test the consequences of these assumptions by extending a well-known agent-based model of author and reviewer behaviour with discrete evaluation scales and reviewers’ interpretation of the grade language. In this way, we compare a peer review model with a homogeneous grade language, as assumed in most models of peer review, with a more psychologically realistic model where reviewers interpret the grades of the evaluation scale heterogeneously. We find that grade language heterogeneity can indeed affect the predictions of a model of peer review.

Suggested Citation

  • Thomas Feliciani & Ramanathan Moorthy & Pablo Lucas & Kalpana Shankar, 2020. "Grade Language Heterogeneity in Simulation Models of Peer Review," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(3), pages 1-8.
  • Handle: RePEc:jas:jasssj:2019-123-2
    as

    Download full text from publisher

    File URL: https://www.jasss.org/23/3/8/8.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mario Paolucci & Francisco Grimaldo, 2014. "Mechanism change in a simulation of peer review: from junk support to elitism," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 663-688, June.
    2. Simone Righi & Károly Takács, 2017. "The miracle of peer review and development in science: an agent-based model," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 587-607, October.
    3. Aidan Lyon & Michael Morreau, 2018. "The wisdom of collective grading and the effects of epistemic and semantic diversity," Theory and Decision, Springer, vol. 85(1), pages 99-116, July.
    4. Carole J. Lee & Cassidy R. Sugimoto & Guo Zhang & Blaise Cronin, 2013. "Bias in peer review," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 2-17, January.
    5. Grimm, Volker & Berger, Uta & DeAngelis, Donald L. & Polhill, J. Gary & Giske, Jarl & Railsback, Steven F., 2010. "The ODD protocol: A review and first update," Ecological Modelling, Elsevier, vol. 221(23), pages 2760-2768.
    6. Carole J. Lee & Cassidy R. Sugimoto & Guo Zhang & Blaise Cronin, 2013. "Bias in peer review," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(1), pages 2-17, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Thomas Feliciani & Junwen Luo & Lai Ma & Pablo Lucas & Flaminio Squazzoni & Ana Marušić & Kalpana Shankar, 2019. "A scoping review of simulation models of peer review," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 555-594, October.
    2. Feliciani, Thomas & Morreau, Michael & Luo, Junwen & Lucas, Pablo & Shankar, Kalpana, 2022. "Designing grant-review panels for better funding decisions: Lessons from an empirically calibrated simulation model," Research Policy, Elsevier, vol. 51(4).
    3. Bravo, Giangiacomo & Farjam, Mike & Grimaldo Moreno, Francisco & Birukou, Aliaksandr & Squazzoni, Flaminio, 2018. "Hidden connections: Network effects on editorial decisions in four computer science journals," Journal of Informetrics, Elsevier, vol. 12(1), pages 101-112.
    4. Guy Madison & Knut Sundell, 2022. "Numbers of publications and citations for researchers in fields pertinent to the social services: a comparison of peer-reviewed journal publications across six disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 6029-6046, October.
    5. Monica Aniela Zaharie & Marco Seeber, 2018. "Are non-monetary rewards effective in attracting peer reviewers? A natural experiment," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1587-1609, December.
    6. Jürgen Janger & Nicole Schmidt-Padickakudy & Anna Strauss-Kollin, 2019. "International Differences in Basic Research Grant Funding. A Systematic Comparison," WIFO Studies, WIFO, number 61664, March.
    7. Meyer, Matthias & Waldkirch, Rüdiger W. & Duscher, Irina & Just, Alexander, 2018. "Drivers of citations: An analysis of publications in “top” accounting journals," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 51(C), pages 24-46.
    8. Andrada Elena Urda-Cîmpean & Sorana D. Bolboacă & Andrei Achimaş-Cadariu & Tudor Cătălin Drugan, 2016. "Knowledge Production in Two Types of Medical PhD Routes—What’s to Gain?," Publications, MDPI, vol. 4(2), pages 1-16, June.
    9. Oleksiyenko, Anatoly V., 2023. "Geopolitical agendas and internationalization of post-soviet higher education: Discursive dilemmas in the realm of the prestige economy," International Journal of Educational Development, Elsevier, vol. 102(C).
    10. Randa Alsabahi, 2022. "English Medium Publications: Opening or Closing Doors to Authors with Non-English Language Backgrounds," English Language Teaching, Canadian Center of Science and Education, vol. 15(10), pages 1-18, October.
    11. Yuetong Chen & Hao Wang & Baolong Zhang & Wei Zhang, 2022. "A method of measuring the article discriminative capacity and its distribution," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3317-3341, June.
    12. Michail Kovanis & Ludovic Trinquart & Philippe Ravaud & Raphaël Porcher, 2017. "Evaluating alternative systems of peer review: a large-scale agent-based modelling approach to scientific publication," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 651-671, October.
    13. Qianjin Zong & Yafen Xie & Jiechun Liang, 2020. "Does open peer review improve citation count? Evidence from a propensity score matching analysis of PeerJ," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 607-623, October.
    14. Francisco Grimaldo & Mario Paolucci & Jordi Sabater-Mir, 2018. "Reputation or peer review? The role of outliers," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1421-1438, September.
    15. David Card & Stefano DellaVigna, 2020. "What Do Editors Maximize? Evidence from Four Economics Journals," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 195-217, March.
    16. Weinhold, Ines & Gurtner, Sebastian, 2014. "Understanding shortages of sufficient health care in rural areas," Health Policy, Elsevier, vol. 118(2), pages 201-214.
    17. Minhyeok Lee, 2023. "Game-Theoretical Analysis of Reviewer Rewards in Peer-Review Journal Systems: Analysis and Experimental Evaluation using Deep Reinforcement Learning," Papers 2305.12088, arXiv.org.
    18. Mohammadamin Erfanmanesh & Jaime A. Teixeira da Silva, 2019. "Is the soundness-only quality control policy of open access mega journals linked to a higher rate of published errors?," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 917-923, August.
    19. Emanuel Kulczycki & Tim C. E. Engels & Janne Pölönen & Kasper Bruun & Marta Dušková & Raf Guns & Robert Nowotniak & Michal Petr & Gunnar Sivertsen & Andreja Istenič Starčič & Alesia Zuccala, 2018. "Publication patterns in the social sciences and humanities: evidence from eight European countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 463-486, July.
    20. Vincent Chandler, 2019. "Identifying emerging scholars: seeing through the crystal ball of scholarship selection committees," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 39-56, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jas:jasssj:2019-123-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Francesco Renzini (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.