IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v129y2024i3d10.1007_s11192-024-04931-6.html
   My bibliography  Save this article

The use of scientific methods and models in the philosophy of science

Author

Listed:
  • Rafael Ventura

    (University of Pennsylvania)

Abstract

What is the relation between philosophy of science and the sciences? As Pradeu et al. (British Journal for the Philosophy of Science https://doi.org/10.1086/715518 , 2021) and Khelfaoui et al. (Synthese 199:6219, 2021) recently show, part of this relation is constituted by “philosophy in science”: the use of philosophical methods to address questions in the sciences. But another part is what one might call “science in philosophy”: the use of methods drawn from the sciences to tackle philosophical questions. In this paper, we focus on one class of such methods and examine the role that model-based methods play within “science in philosophy”. To do this, we first build a bibliographic coupling network with Web of Science records of all papers published in philosophy of science journals from 2000 to 2020 ( $$N=9217$$ N = 9217 ). After detecting the most prominent communities of papers in the network, we use a supervised classifier to identify all papers that use model-based methods. Drawing on work in cultural evolution, we also propose a model to represent the evolution of methods in each one of these communities. Finally, we measure the strength of cultural selection for model-based methods during the given time period by integrating model and data. Results indicate not only that model-based methods have had a significant presence in philosophy of science over the last two decades, but also that there is considerable variation in their use across communities. Results further indicate that some communities have experienced strong selection for the use of model-based methods but that other have not; we validate this finding with a logistic regression of paper methodology on publication year. We conclude by discussing some implications of our findings and suggest that model-based methods play an increasingly important role within “science in philosophy” in some but not all areas of philosophy of science.

Suggested Citation

  • Rafael Ventura, 2024. "The use of scientific methods and models in the philosophy of science," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(3), pages 1255-1276, March.
  • Handle: RePEc:spr:scient:v:129:y:2024:i:3:d:10.1007_s11192-024-04931-6
    DOI: 10.1007/s11192-024-04931-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-024-04931-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11192-024-04931-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bart Thijs & Lin Zhang & Wolfgang Glänzel, 2015. "Bibliographic coupling and hierarchical clustering for the validation and improvement of subject-classification schemes," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1453-1467, December.
    2. Song Chen & Ingrid Van Keilegom, 2013. "Estimation in semiparametric models with missing data," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 65(4), pages 785-805, August.
    3. Mitchell G. Newberry & Christopher A. Ahern & Robin Clark & Joshua B. Plotkin, 2017. "Detecting evolutionary forces in language change," Nature, Nature, vol. 551(7679), pages 223-226, November.
    4. M. M. Kessler, 1963. "Bibliographic coupling between scientific papers," American Documentation, Wiley Blackwell, vol. 14(1), pages 10-25, January.
    5. Le, Vo Phuong Mai & Meenagh, David, 2013. "Testing and Estimating Models Using Indirect Inference," Cardiff Economics Working Papers E2013/8, Cardiff University, Cardiff Business School, Economics Section.
    6. Kevin W. Boyack & Katy Börner & Richard Klavans, 2009. "Mapping the structure and evolution of chemistry research," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(1), pages 45-60, April.
    7. Lu Huang & Yijie Cai & Erdong Zhao & Shengting Zhang & Yue Shu & Jiao Fan, 2022. "Measuring the interdisciplinarity of Information and Library Science interactions using citation analysis and semantic analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6733-6761, November.
    8. Oecd, 2013. "Mobile Handset Acquisition Models," OECD Digital Economy Papers 224, OECD Publishing.
    9. Nees Jan van Eck & Ludo Waltman, 2009. "How to normalize cooccurrence data? An analysis of some well‐known similarity measures," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(8), pages 1635-1651, August.
    10. K. Brad Wray & Lutz Bornmann, 2015. "Philosophy of science viewed through the lense of “Referenced Publication Years Spectroscopy” (RPYS)," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 1987-1996, March.
    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. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    2. Maria Cipollina & Luca Benedictis & Elisa Scibè, 2024. "Environmental migration? A systematic review and meta-analysis of the literature," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 160(4), pages 1393-1441, November.
    3. Rey-Long Liu, 2017. "A new bibliographic coupling measure with descriptive capability," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 915-935, February.
    4. Lilian Cervo Cabrera & Carlos Eduardo Caldarelli & Marcia Regina Gabardo Camara, 2020. "Mapping collaboration in international coffee certification research," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2597-2618, September.
    5. Perianes-Rodriguez, Antonio & Waltman, Ludo & van Eck, Nees Jan, 2016. "Constructing bibliometric networks: A comparison between full and fractional counting," Journal of Informetrics, Elsevier, vol. 10(4), pages 1178-1195.
    6. Jiang, Chenming & Bhat, Chandra R. & Lam, William H.K., 2020. "A bibliometric overview of Transportation Research Part B: Methodological in the past forty years (1979–2019)," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 268-291.
    7. Gorupec Natalia & Brehmer Nataliia & Tiberius Victor & Kraus Sascha, 2022. "Tackling uncertain future scenarios with real options: A review and research framework," The Irish Journal of Management, Sciendo, vol. 41(1), pages 69-88, July.
    8. Juntao Zheng & Niancai Liu, 2015. "Mapping of important international academic awards," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 763-791, September.
    9. Patrick Röhm, 2018. "Exploring the landscape of corporate venture capital: a systematic review of the entrepreneurial and finance literature," Management Review Quarterly, Springer, vol. 68(3), pages 279-319, August.
    10. Hric, Darko & Kaski, Kimmo & Kivelä, Mikko, 2018. "Stochastic block model reveals maps of citation patterns and their evolution in time," Journal of Informetrics, Elsevier, vol. 12(3), pages 757-783.
    11. Igors Skute, 2019. "Opening the black box of academic entrepreneurship: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 237-265, July.
    12. Igors Skute & Kasia Zalewska-Kurek & Isabella Hatak & Petra Weerd-Nederhof, 2019. "Mapping the field: a bibliometric analysis of the literature on university–industry collaborations," The Journal of Technology Transfer, Springer, vol. 44(3), pages 916-947, June.
    13. Luís Farinha & João Renato Sebastião & Carlos Sampaio & João Lopes, 2020. "Social innovation and social entrepreneurship: discovering origins, exploring current and future trends," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 17(1), pages 77-96, March.
    14. Secundo, Giustina & Ndou, Valentina & Vecchio, Pasquale Del & De Pascale, Gianluigi, 2020. "Sustainable development, intellectual capital and technology policies: A structured literature review and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    15. Nassiri, Isar & Masoudi-Nejad, Ali & Jalili, Mahdi & Moeini, Ali, 2013. "Normalized Similarity Index: An adjusted index to prioritize article citations," Journal of Informetrics, Elsevier, vol. 7(1), pages 91-98.
    16. Haiko Lietz, 2020. "Drawing impossible boundaries: field delineation of Social Network Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2841-2876, December.
    17. Yang, Siluo & Han, Ruizhen & Wolfram, Dietmar & Zhao, Yuehua, 2016. "Visualizing the intellectual structure of information science (2006–2015): Introducing author keyword coupling analysis," Journal of Informetrics, Elsevier, vol. 10(1), pages 132-150.
    18. Choudhury, Nazim & Faisal, Fahim & Khushi, Matloob, 2020. "Mining Temporal Evolution of Knowledge Graphs and Genealogical Features for Literature-based Discovery Prediction," Journal of Informetrics, Elsevier, vol. 14(3).
    19. Xin Li & Qiang Yao & Xuli Tang & Qian Li & Mengjia Wu, 2020. "How to investigate the historical roots and evolution of research fields in China? A case study on iMetrics using RootCite," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1253-1274, November.
    20. Cathaysa Martín-Blanco & Montserrat Zamorano & Carmen Lizárraga & Valentin Molina-Moreno, 2022. "The Impact of COVID-19 on the Sustainable Development Goals: Achievements and Expectations," IJERPH, MDPI, vol. 19(23), pages 1-25, December.

    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:spr:scient:v:129:y:2024:i:3:d:10.1007_s11192-024-04931-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.