The Korean Association for the Study of English Language and Linguistics
[ Article ]
Korea Journal of English Language and Linguistics - Vol. 22, No. 0, pp.1368-1388
ISSN: 1598-1398 (Print) 2586-7474 (Online)
Print publication date 31 Jan 2022
Received 06 Oct 2022 Revised 12 Dec 2022 Accepted 30 Dec 2022
DOI: https://doi.org/10.15738/kjell.22..202212.1368

A Quantitative Analysis of the Little Red Riding Hood Types and Story Element-Function-Plot Relations

Jungsik Park ; Ho Han
(1st author) Professor, Dept. of English Language and Literature, Ajou University jspark@ajou.ac.kr
(corresponding author) Professor, Dept. of English Language and Literature, Ajou University hhan@ajou.ac.kr


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This is an open-access article distributed under the terms of the Creative Commons License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Tale types of “Little Red Riding Hood” have survived through oral transmission in various areas including Europe, Africa, and Asia and can even be traced back to 10th century in a written form. This research presents quantitative analyses on the folkloric landscape of tales of, or related to, what is best known as Little Red Riding Hood through the Aarne-Thompson-Uther (ATU) index, of which we analyzed ATU 333, ATU 123, and other unspecified types, based on logistic regression and decision tree. The quantitative analyses of the Little Red Riding Hood tale types indicate that ATU 123 alone has the specific story segments that are important to the formation of the tale type and that though diversified in story segments and other details, the three types shared the distinct plot sequence as an important feature. In addition, eight event descriptors and six character and setting descriptors are found to be meaningful factors in the formation of ATU 123. It can be further argued that the plot as an abstraction played a major role in the formation of the tales we have now. Also demonstrated in this paper is that researchers can yield substantial insights into the quantitative results while cross-checking them with qualitative analyses.

Keywords:

Little Red Riding Hood, logistic regression, feature importance, story element, plot, motif

Acknowledgments

This work was supported by the Ajou University research fund.

We would like to thank two anonymous reviewers for their valuable suggestions and comments. Of course, all errors are the authors’ responsibility.

References

  • Acerbi, A., J. Kendal and J. J. Tehrani. 2017. Cultural complexity and demography: The case of folktales. Evolution and Human Behavior 38(4), 474-480. [https://doi.org/10.1016/j.evolhumbehav.2017.03.005]
  • Bettelheim, B. 1976. The Uses of Enchantment: The Meaning and Importance of Fairy Tales. New York: Knopf.
  • Christine, K. and M. Koppy. 2021. Fairy Tales in Contemporary American Culture: How We Hate to Love Them. Lanham, MD: The Rowman & Littlefield Publishing Group, Inc.
  • Darányi, S., R. Zawiasa and Z. Hajnal. 1996. Conceptual mapping of a database in the humanities: First results of an experiment with Sophia. Journal of Documentation 52(1), 86-99. [https://doi.org/10.1108/eb026963]
  • Darnton, R. 1984. The meaning of Mother Goose. The New York Review (February 2, 1984), 41-47.
  • Da Silva, S. G. and J. J. Tehrani. 2016. Comparative phylogenetic analyses uncover the ancient roots of Indo-European folktales. Royal Society Open Science 3(1), 1-11. [https://doi.org/10.1098/rsos.150645]
  • d’Huy, J. 2013. A phylogenetic approach of mythology and its archaeological consequences. Rock Art Research 30(1), 91-103.
  • Nakawake, Y. and K. Sato. 2019. Systematic quantitative analyses reveal the folk-zoological knowledge embedded in folktales. Palgrave Communications 5(1), 1-10. [https://doi.org/10.1057/s41599-019-0375-x]
  • Nielbo, K., M. Thomsen, T. Peura and Y. Bizzoni. 2022. Fractal Sentiments and Fairy Tales: Fractal scaling of narrative arcs as predictor of the perceived quality of Andersen’s fairy tales. Journal of Data Mining & Digital Humanities. [https://doi.org/10.46298/jdmdh.9154]
  • Ofek, N., S. Darányi and L. Rokach. 2013. Linking motif sequences with tale types by machine learning. In M. A. Finlayson, B. Fisseni, B. Löwe and J. C. Meister, eds., Proceedings of the 4th Workshop on Computational Models of Narrative (CMN’13), Hamburg, Germany, 2013. Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik. [https://doi.org/10.4230/OASIcs.CMN.2013.166]
  • Park, J. and M. Kim. 2018. A study on development and application of motif-based storytelling. Global Cultural Contents 33, 23-45 [https://doi.org/10.32611/jgcc.2018.4.33.23]
  • Propp, V. 1928. Morphology of the Folktale. (Translated by L. Scott.) Austin, TX: University of Texas Press, 1968. [https://doi.org/10.7560/783911]
  • Ramanujan, A. K. 1983. The Indian Oedipus. In L. Edmunds and A. Dundes, eds., Oedipus: A Folklore Case Book, 234-264. New York: Garland Publishing Co.
  • Roos, T. and T. Heikkila. 2009. Evaluating methods for computer-assisted stemmatology using artificial benchmark data sets. Literary and Linguistic Computing 24, 417-433. [https://doi.org/10.1093/llc/fqp002]
  • Shaul, D. L. and N. L. Furbee. 1998. Language and Culture. Prospects Heights, IL: Waveland Press, Inc.
  • Tatar, M. 1987. The Hard Facts of the Grimm’s Fairy Tales. Princeton, NJ: Princeton University Press.
  • Tehrani, J. J. 2013. The phylogeny of Little Red Riding Hood. Plos One. [https://doi.org/10.1371/journal.pone.0078871]
  • Tehrani, J. J., Q. Nguyen and T. Roos. 2016. Oral fairy tale or literary fake? Investigating the origins of Little Red Riding Hood using phylogenetic network analysis. Digital Scholarship in the Humanities 31(3), 611-636. [https://doi.org/10.1093/llc/fqv016]
  • Zipes, J. 1993. The Trials and Tribulations of Little Red Riding Hood, 2nd ed. New York: Routledge.