This page offers a small selection of papers about measures of distinctiveness, which offer a good introduction. The project bibliography (under construction) is available on Zotero.

The list of recommended literature can be found here.

Search the bibliography:

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A. E. Levin, Yuri Prizel, and D. S., ‘English-Language SF as a Socio-Cultural Phenomenon’, Science Fiction Studies, 4.3 (1977), pp. 246–56 <http://www.jstor.org/stable/4239133> [accessed 12 June 2024]
Aaron Santesso, ‘Fascism and Science Fiction’, Science Fiction Studies, 41.1 (2014), pp. 136–62, http://doi.org/10.5621/sciefictstud.41.1.0136
Achananuparp, Palakorn, Xiaohua Hu, and Xiajiong Shen, ‘The Evaluation of Sentence Similarity Measures’, in Data Warehousing and Knowledge Discovery, ed. by Il-Yeol Song, Johann Eder, and Tho Manh Nguyen (Springer Berlin Heidelberg, 2008), mmmmmclxxxii, 305–16, doi:10.1007/978-3-540-85836-2_29
Adamzik, Kirsten, Textsorten – Texttypologie. Eine Kommentierte Bibliographie (Nodus, 1995) <https://www.unige.ch/lettres/alman/fr/enseignants/anciens/adamzik/arbeitskreis-textsorten/>
Adamzik, Kirsten, Roger Gaberell, and Gottfried Kolde, Kontrastive Textologie: Untersuchungen zur deutschen und französischen Sprach- und Literaturwissenschaft, Textsorten, 2 (Stauffenburg-Verl, 2001)
Agapitos, Paschalis, and Andreas van Cranenburgh, ‘A Stylometric Analysis of Seneca’s Disputed Plays. Authorship Verification of Octavia and Hercules Oetaeus’, Journal of Computational Literary Studies, 3.1 (2024), http://doi.org/10.48694/jcls.3919
Albert I. Berger, ‘Science-Fiction Fans in Socio-Economic Perspective: Factors in the Social Consciousness of a Genre’, Science Fiction Studies, 4.3 (1977), pp. 232–46 <http://www.jstor.org/stable/4239132> [accessed 12 June 2024]
Albitar, Shereen, Sébastien Fournier, and Bernard Espinasse, ‘An Effective TF/IDF-Based Text-to-Text Semantic Similarity Measure for Text Classification’, in Web Information Systems Engineering – WISE 2014, ed. by Boualem Benatallah, Azer Bestavros, Yannis Manolopoulos, Athena Vakali, and Yanchun Zhang (Springer International Publishing, 2014), 105–14, doi:10.1007/978-3-319-11749-2_8
Allan, Janice, Jesper Gulddal, Stewart King, and Andrew Pepper, eds., The Routledge Companion to Crime Fiction, 1st edn (Routledge, 2020), doi:10.4324/9780429453342
Allison, Sarah, Ryan Heuser, Matthew Jockers, Franco Moretti, and Michael Witmore, ‘Quantitative Formalism: An Experiment (Stanford Literary Lab, Pamphlet 1)’, Pamphlets of the Stanford Literary Lab, 2011 <https://litlab.stanford.edu/LiteraryLabPamphlet1.pdf>
Altmann, Eduardo G., Janet B. Pierrehumbert, and Adilson E. Motter, ‘Beyond Word Frequency: Bursts, Lulls, and Scaling in the Temporal Distributions of Words’, ed. by Enrico Scalas, PLoS ONE, 4.11 (2009), p. e7678, http://doi.org/10.1371/journal.pone.0007678
Altmann, E. G., G. Cristadoro, and M. D. Esposti, ‘On the Origin of Long-Range Correlations in Texts’, Proceedings of the National Academy of Sciences, 109.29 (2012), pp. 11582–87, http://doi.org/10.1073/pnas.1117723109
Amit Marcus, ‘The Ethics of Human Cloning in Narrative Fiction’, Comparative Literature Studies, 49.3 (2012), pp. 405–33, http://doi.org/10.5325/complitstudies.49.3.0405
Anderson, Wendy J., The Phraseology of Administrative French: A Corpus-Based Study, Language and Computers, 57 (Rodopi, 2006)
André Salem, Ludovic Lebart, ‘Statistique Textuelle’, ResearchGate, 1994 <https://www.researchgate.net/publication/44832136_Statistique_textuelle> [accessed 7 September 2019]
Andrej Karpathy, Let’s Build GPT: From Scratch, in Code, Spelled Out., 2023 <https://www.youtube.com/watch?v=kCc8FmEb1nY> [accessed 8 January 2024]
Andrew Milner, ‘Science Fiction and the Literary Field’, Science Fiction Studies, 38.3 (2011), pp. 393–411, http://doi.org/10.5621/sciefictstud.38.3.0393
Angenot, Marc, Les Dehors de La Littérature, Unichamp Essentiel ; 31 (Champion, 2013)
Angenot, Marc, Le roman populaire: recherches en paralittérature (Presses de l’université du Québec, 1975) <http://digitale-objekte.hbz-nrw.de/storage/2009/11/07/file_18/3292944.pdf> [accessed 31 October 2018]
Anthony, Laurence, ‘AntConc: Design and Development of a Freeware Corpus Analysis Toolkit for the Technical Writing Classroom’, 2005, pp. 729–37, http://doi.org/10.1109/IPCC.2005.1494244
Anthony, Laurence, ‘AntConc: Design and Development of a Freeware Corpus Analysis Toolkit for the Technical Writing Classroom’, in IPCC 2005. Proceedings. International Professional Communication Conference, 2005. (IEEE, 2005), pp. 729–37
ARNOLD, DAVID, ‘THE CASE FOR CRIME’, Studies in the Novel, 35.1 (2003), pp. 108–18 <http://www.jstor.org/stable/29533551> [accessed 20 June 2024]
Ashley, Michael, Yesterday’s Tomorrows: The Story of Classic British Science Fiction in 100 Books (British Library, 2020)
Ashley, Michael, ed., The Feminine Future: Early Science Fiction by Women Writers, Dover Thrift Editions (Dover Publications, 2015) <https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=1156457> [accessed 29 June 2024]
Ashley, Michael, ed., Menace of the Machine: The Rise of AI in Classic Science Fiction (British Library Publishing, 2019)
Aubry, Danielle, Du roman-feuilleton à la série télévisuelle: pour une rhétorique du genre et de la sérialité (Peter Lang, 2006)
Auer, P., ‘Anmerkungen Zum Salienzbegriff in Der Soziolinguistik’, Linguistik Online, 66.4 (2014), doi:https://doi.org/10.13092/lo.66.1569
Auerbach, Erich, Mimesis: dargestellte Wirklichkeit in der abendländischen Literatur, Sammlung Dalp, 11. Auflage (A. Francke Verlag, 2015)
Baayen, Harald, ‘Statistical Models for Word Frequency Distributions: A Linguistic Evaluation’, Computers and the Humanities, 26.5–6 (1992), pp. 347–63, http://doi.org/10.1007/BF00136980
Baayen, R. H., Analyzing Linguistic Data: A Practical Introduction to Statistics Using R (Cambridge University Press, 2008), doi:10.1017/CBO9780511801686
Babbie, Earl R., The Practice of Social Research / Earl Babbie, Internat. ed., 12. ed. (Wadsworth Cengage Learning, 2010)
Baccolini, Raffaella, ‘The Persistence of Hope in Dystopian Science Fiction’, PMLA, 119.3 (2004), pp. 518–21 <http://www.jstor.org/stable/25486067> [accessed 12 June 2024]
Baccolini, Raffaella, Giuliana Benvenuti, Chiara Elefante, and Rita Monticelli, ‘12 Transmedia Science Fiction and New Social Imaginaries’, in The Edinburgh Companion to the New European Humanities (Edinburgh University Press, 2024), pp. 229–54, doi:10.1515/9781399505208-016
Baeza-Yates, Ricardo, and Berthier Ribeiro Neto, Modern Information Retrieval (Harlow, 1999)
Baker, Paul, ‘Querying Keywords: Questions of Difference, Frequency, and Sense in Keywords Analysis’, Journal of English Linguistics, 32.4 (2004), pp. 346–59, http://doi.org/10.1177/0075424204269894
Baker, Susan, ‘Shakespearean Authority in the Classic Detective Story’, Shakespeare Quarterly, 46.4 (1995), pp. 424–48, http://doi.org/10.2307/2870981
Baker, Jennifer S., The Readers’ Advisory Guide to Historical Fiction, ALA Readers’ Advisory Series (ALA Editions, 2015) <http://site.ebrary.com/id/10959919> [accessed 29 June 2024]
Baker, L. Douglas, and Andrew Kachites McCallum, ‘Distributional Clustering of Words for Text Classification’, in Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval  - SIGIR ’98 (presented at the the 21st annual international ACM SIGIR conference, ACM Press, 1998), pp. 96–103, http://doi.org/10.1145/290941.290970
Barber, Ros, ‘Big Data or Not Enough? Zeta Test Reliability and the Attribution of Henry VI’, Digital Scholarship in the Humanities, 36.3 (2021), pp. 542–64, http://doi.org/10.1093/llc/fqaa041
Baron, Alistair, Paul Rayson, and Dawn Archer, ‘Word Frequency and Key Word Statistics in Historical Corpus Linguistics’, Anglistik, 20.1 (2009)
Bassi, Erica, ‘A Contrastive Analysis of Keywords in Newspaper Articles on the “Kyoto Protocol”’, in Keyness in Texts, 2010 <https://benjamins.com/catalog/scl.41.15bas> [accessed 23 July 2020]
Baudou, Jacques, La Science-fiction, Que sais-je?, 1e édition (Presses Universitaires de France - PUF, 2003)
Baumann, Christiane, and Gisela Lerch, Extreme Gegenwart: französische Literatur der 80er Jahre (Manholt, 1989)
Bedore, Pamela, The Routledge Introduction to Canadian Crime Fiction, 1st edn (Routledge, 2023), doi:10.4324/9781003125242
Beliga, Slobodan, ‘Keyword Extraction: A Review of Methods and Approaches’, University of Rijeka, Department of Informatics, Rijeka, 2014, pp. 1–9
Beliga, Slobodan, Ana Meštrović, and Sanda Martinčić-Ipšić, ‘Selectivity-Based Keyword Extraction Method’, International Journal on Semantic Web and Information Systems (IJSWIS), 12.3 (2016), pp. 1–26
Beliga, Slobodan, Ana Meštrović, and Sanda Martinčić-Ipšić, ‘An Overview of Graph-Based Keyword Extraction Methods and Approaches’, Journal of Information and Organizational Sciences, 39.1 (2015), pp. 1–20
Benois-Pineau, Jenny, Romain Bourqui, Dragutin Petkovic, and Georges Quenot, Explainable Deep Learning AI: Methods and Challenges (Elsevier, 2023)
Bentolila, Éric, ‘Le Roman Policier Français de 1970 et 2000 : Une Analyse Littéraire’ (unpublished These de doctorat, Université Grenoble Alpes (ComUE), 2016) <https://www.theses.fr/2016GREAL013> [accessed 8 February 2023]
Bereit, Virginia F., ‘The Genre of Science Fiction’, Elementary English, 46.7 (1969), pp. 895–900 <http://www.jstor.org/stable/41386588> [accessed 12 June 2024]