IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v5y2019i1d10.1057_s41599-019-0234-9.html
   My bibliography  Save this article

Cultural entrenchment of folktales is encoded in language

Author

Listed:
  • Folgert Karsdorp

    (Royal Netherlands Academy of Arts and Sciences)

  • Lauren Fonteyn

    (Leiden University)

Abstract

In this interdisciplinary study, we explore the understudied effects of growing cultural entrenchment on the form of stories with a long reproduction history. Drawing on insight from literary theory, theoretical linguistics, and cultural evolution theory, we argue that changes in the cultural entrenchment of fairy tales and folk stories are reflected in (small) structural ‘mutations’ in the story. More specifically, we aim to show that with the increasing familiarity of “Little Red Riding Hood”, its story frame and characters have gradually become part of the author and audience’s shared world knowledge, which is encoded in the type of linguistic devices used to introduce the characters. To this end, we performed a Bayesian logistic regression analysis on a diachronic collection (late 18th century–2015) of the world’s most iconic fairy tale, using automatically generated time estimations for a subset of undated reproductions in the story lineage, and including these estimates and approximated measurement errors in the statistical model. Results show that there is indeed a marked increase of linguistic markers that indicate that the characters are already known or “accessible” to the audience. This development reflects the author’s changing intuitions and beliefs about the familiarity of the story, and, indirectly, the changing expectations of the story’s audience regarding the appearance of certain characters in the story frame. Notably, this study is the first to quantitatively describe the diachronic development of a story (and the concepts associated with it) into the realm of ‘shared knowledge’, showing that it is a slow and gradual process. The results help refine our understanding of cultural evolution as well as the workings of speaker-addressee dynamics. Conceptualising the observed linguistic mutations as an instance of guided variation, we argue that the increase of definite first mentions as a function of cultural entrenchment can be treated as an example of variation guided by pragmatic principles such as Grice’s Maxim of Quantity, making character introductions as informative as (and not more informative than) required.

Suggested Citation

  • Folgert Karsdorp & Lauren Fonteyn, 2019. "Cultural entrenchment of folktales is encoded in language," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-12, December.
  • Handle: RePEc:pal:palcom:v:5:y:2019:i:1:d:10.1057_s41599-019-0234-9
    DOI: 10.1057/s41599-019-0234-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-019-0234-9
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41599-019-0234-9?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. Damian Ruck & R. Alexander Bentley & Alberto Acerbi & Philip Garnett & Daniel J. Hruschka, 2017. "Role Of Neutral Evolution In Word Turnover During Centuries Of English Word Popularity," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 20(06n07), pages 1-16, September.
    2. Matthew Blackwell & James Honaker & Gary King, 2017. "A Unified Approach to Measurement Error and Missing Data: Overview and Applications," Sociological Methods & Research, , vol. 46(3), pages 303-341, August.
    3. Stefano Ghirlanda & Alberto Acerbi & Harold Herzog, 2014. "Dog Movie Stars and Dog Breed Popularity: A Case Study in Media Influence on Choice," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-5, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yo Nakawake & Kosuke Sato, 2019. "Systematic quantitative analyses reveal the folk-zoological knowledge embedded in folktales," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-10, December.

    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. Matthew Blackwell & James Honaker & Gary King, 2017. "A Unified Approach to Measurement Error and Missing Data: Overview and Applications," Sociological Methods & Research, , vol. 46(3), pages 303-341, August.
    2. Dlugosz, Stephan & Mammen, Enno & Wilke, Ralf A., 2017. "Generalized partially linear regression with misclassified data and an application to labour market transitions," Computational Statistics & Data Analysis, Elsevier, vol. 110(C), pages 145-159.
    3. Meyer, Bruce D. & Mittag, Nikolas, 2019. "Combining Administrative and Survey Data to Improve Income Measurement," IZA Discussion Papers 12266, Institute of Labor Economics (IZA).
    4. Sebastian Barfort & Nikolaj Harmon & Frederik Hjorth & Asmus Leth Olsen, 2015. "Dishonesty and Selection into Public Service in Denmark: Who Runs the World’s Least Corrupt Public Sector?," Discussion Papers 15-12, University of Copenhagen. Department of Economics.
    5. Simon Grund & Oliver Lüdtke & Alexander Robitzsch, 2018. "Multiple Imputation of Missing Data at Level 2: A Comparison of Fully Conditional and Joint Modeling in Multilevel Designs," Journal of Educational and Behavioral Statistics, , vol. 43(3), pages 316-353, June.
    6. Song, Shige, 2013. "Identifying the intergenerational effects of the 1959–1961 Chinese Great Leap Forward Famine on infant mortality," Economics & Human Biology, Elsevier, vol. 11(4), pages 474-487.
    7. Jonathan B Slapin, 2014. "Measurement, model testing, and legislative influence in the European Union," European Union Politics, , vol. 15(1), pages 24-42, March.
    8. Rodolphe Desbordes & Gary Koop, 2014. "The known unknowns of governance," Working Papers 1407, University of Strathclyde Business School, Department of Economics.
    9. Ton de Waal & Arnout van Delden & Sander Scholtus, 2020. "Multi‐source Statistics: Basic Situations and Methods," International Statistical Review, International Statistical Institute, vol. 88(1), pages 203-228, April.
    10. Matheson, Catherine M. & Rimmer, Russell & Tinsley, Ross, 2014. "Spiritual attitudes and visitor motivations at the Beltane Fire Festival, Edinburgh," Tourism Management, Elsevier, vol. 44(C), pages 16-33.
    11. Joscha Legewie, 2018. "Living on the Edge: Neighborhood Boundaries and the Spatial Dynamics of Violent Crime," Demography, Springer;Population Association of America (PAA), vol. 55(5), pages 1957-1977, October.
    12. Hachmi Ben Ameur & Fredj Jawadi & Abdoulkarim Idi Cheffou & Wael Louhichi, 2018. "Measurement errors in stock markets," Annals of Operations Research, Springer, vol. 262(2), pages 287-306, March.
    13. Kuwayama, Yusuke & Olmstead, Sheila & Zheng, Jiameng, 2022. "A more comprehensive estimate of the value of water quality," Journal of Public Economics, Elsevier, vol. 207(C).
    14. Ron Johnston & Todd Hartman & Charles Pattie, 2019. "Predicting general election outcomes: campaigns and changing voter knowledge at the 2017 general election in England," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(3), pages 1369-1389, May.
    15. Johannes Bettin & Meike Wollni, 2020. "Environmental Concern and Urbanization in India: Towards Psychological Complexity," Sustainability, MDPI, vol. 12(24), pages 1-25, December.
    16. Bruce D. Meyer & Nikolas Mittag, 2019. "Combining Administrative and Survey Data to Improve Income Measurement," NBER Working Papers 25738, National Bureau of Economic Research, Inc.
    17. Bruce D. Meyer & Nikolas Mittag & Derek Wu, 2024. "Race, Ethnicity and Measurement Error," NBER Chapters, in: Race, Ethnicity, and Economic Statistics for the 21st Century, National Bureau of Economic Research, Inc.
    18. Edmund Malesky & Markus Taussig, 2019. "How Do Firms Feel About Participation by Their Peers in the Regulatory Design Process? An Online Survey Experiment Testing the Substantive Change and Spillover Mechanisms," Strategy Science, INFORMS, vol. 4(2), pages 129-150, June.
    19. Andrea Bastianin & Paolo Castelnovo & Massimo Florio, 2017. "The Empirics of Regulatory Reforms Proxied by Categorical Variables: Recent Findings and Methodological Issues," Working Papers 2017.22, Fondazione Eni Enrico Mattei.
    20. Rajkumar Venkatesan & Alexander Bleier & Werner Reinartz & Nalini Ravishanker, 2019. "Improving customer profit predictions with customer mindset metrics through multiple overimputation," Journal of the Academy of Marketing Science, Springer, vol. 47(5), pages 771-794, September.

    More about this item

    Statistics

    Access and download statistics

    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:pal:palcom:v:5:y:2019:i:1:d:10.1057_s41599-019-0234-9. 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: https://www.nature.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.