Bibliografie

A. E. Levin, Yuri Prizel, and D. S., ‘English-Language SF as a Socio-Cultural Phenomenon’, Science Fiction Studies, 4.3 (1977), 246–56 <http://www.jstor.org/stable/4239133> [accessed 12 June 2024]

Aaron Santesso, ‘Fascism and Science Fiction’, Science Fiction Studies, 41.1 (2014), 136–62 <https://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 (Berlin, Heidelberg: Springer Berlin Heidelberg, 2008), mmmmmclxxxii, 305–16 <https://doi.org/10.1007/978-3-540-85836-2_29>

Adamzik, Kirsten, Textsorten – Texttypologie. Eine Kommentierte Bibliographie (Münster: 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 (Tübingen: Stauffenburg-Verl, 2001)

Albert I. Berger, ‘Science-Fiction Fans in Socio-Economic Perspective: Factors in the Social Consciousness of a Genre’, Science Fiction Studies, 4.3 (1977), 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 (Cham: Springer International Publishing, 2014), 105–14 <https://doi.org/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 (Abingdon, Oxon; New York, NY: Routledge, 2020.: Routledge, 2020) <https://doi.org/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), e7678 <https://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), 11582–87 <https://doi.org/10.1073/pnas.1117723109>

Amit Marcus, ‘The Ethics of Human Cloning in Narrative Fiction’, Comparative Literature Studies, 49.3 (2012), 405–33 <https://doi.org/10.5325/complitstudies.49.3.0405>

Anderson, Wendy J., The Phraseology of Administrative French: A Corpus-Based Study, Language and Computers, 57 (Amsterdam: 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), 393–411 <https://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 (Montreal: 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 <https://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), 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 (London: British Library, 2020)

Ashley, Michael, ed., The Feminine Future: Early Science Fiction by Women Writers, Dover Thrift Editions (Mineola, New York: 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 (London: 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) <https://doi.org/https://doi.org/10.13092/lo.66.1569>

Auerbach, Erich, Mimesis: dargestellte Wirklichkeit in der abendländischen Literatur, Sammlung Dalp, 11. Auflage (Tübingen: A. Francke Verlag, 2015)

Baayen, Harald, ‘Statistical Models for Word Frequency Distributions: A Linguistic Evaluation’, Computers and the Humanities, 26.5–6 (1992), 347–63 <https://doi.org/10.1007/BF00136980>

Baayen, R. H., Analyzing Linguistic Data: A Practical Introduction to Statistics Using R (Cambridge: Cambridge University Press, 2008) <https://doi.org/10.1017/CBO9780511801686>

Babbie, Earl R., The Practice of Social Research / Earl Babbie, Internat. ed., 12. ed. (Belmont, Calif: Wadsworth Cengage Learning, 2010)

Baccolini, Raffaella, ‘The Persistence of Hope in Dystopian Science Fiction’, PMLA, 119.3 (2004), 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 <https://doi.org/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), 346–59 <https://doi.org/10.1177/0075424204269894>

Baker, Susan, ‘Shakespearean Authority in the Classic Detective Story’, Shakespeare Quarterly, 46.4 (1995), 424–48 <https://doi.org/10.2307/2870981>

Baker, Jennifer S., The Readers’ Advisory Guide to Historical Fiction, ALA Readers’ Advisory Series (Chicago, Illinois: 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, Melbourne, Australia: ACM Press, 1998), pp. 96–103 <https://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), 542–64 <https://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 (Paris: Presses Universitaires de France - PUF, 2003)

Baumann, Christiane, and Gisela Lerch, Extreme Gegenwart: französische Literatur der 80er Jahre (Bremen: Manholt, 1989)

Bedore, Pamela, The Routledge Introduction to Canadian Crime Fiction, 1st edn (New York: Routledge, 2023) <https://doi.org/10.4324/9781003125242>

Beliga, Slobodan, ‘Keyword Extraction: A Review of Methods and Approaches’, University of Rijeka, Department of Informatics, Rijeka, 2014, 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), 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), 1–20

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), 895–900 <http://www.jstor.org/stable/41386588> [accessed 12 June 2024]

Bergthaller, Hannes, ‘Cli-Fi and Petrofiction: Questioning Genre in the Anthropocene’, Amerikastudien / American Studies, 62.1 (2017), 120–25 <http://www.jstor.org/stable/44982310> [accessed 13 June 2024]

Bertels, Ann, and Dirk Speelman, ‘“Keywords Method” versus “Calcul Des Spécificités”: A Comparison of Tools and Methods’, International Journal of Corpus Linguistics, 18.4 (2013), 536–60 <https://doi.org/10.1075/ijcl.18.4.04ber>