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DISINTEGRATION: Nationalist Party Discourse
No full textThe Nationalist Party Discourse Dataset provides data on nationalist party communication across European countries between 2012 and 2021, hand-coded from a EU/Brexit news corpus. It captures the discourse of ten eurosceptic parties in ten EU member states (Austria, Denmark, Finland, France, Germany, Ireland, Italy, the Netherlands, Poland, and Spain) evolved over the course of the Brexit process in the UK between 1 January 2012 and 31 December 2021.
The data are based on an EU and Brexit news corpus, which has been compiled using the LexisNexis API in the context of the DISINTEGRATION project, headed by Stefanie Walter, at the University of Zurich (https://www.disintegration.ch). Based on this corpus, the data were hand-coded in the context of work on the “Learning from Precedent” project (Martini & Walter 2023), but are more extensive than the replication data for the paper.
The analysis includes all media articles in our corpus that mention the EU at least once and contain the names, abbreviations, or synonyms of a nationalist party in close proximity to a EU reference. The dataset classified the resulting sentences containing EU-related statements by nationalist politicians into four categories based how aggressively party representatives position themselves toward the EU, ranging from implicit acceptance of the current level of EU integration (Status Quo, least aggressive) to statements calling for an unconditional withdrawal from the EU, irrespective of whether EU reforms are undertaken or not (Leave, most aggressive). A second variable focuses on the substance of critique and distinguishes between policy and institutional critique.
More information can also be found here:
Martini, Marco & Stefanie Walter (2023). “Learning from Precedent: How the British Brexit Experience Shapes Nationalist Rhetoric outside the UK.” Journal of European Public Policy. https://www.tandfonline.com/doi/full/10.1080/13501763.2023.217653
Topic model and n-grams for islamophobic blog PI-News
No full textThe folder contains everything that is needed to reproduce findings, figures and tables presented in the following publication:
Krasselt, J., & Dreesen, Ph. (in press). Topic models indicate textual aboutness and pragmatics: Valuation practices in Islamophobic discourse. Journal of Cultual Analytics.
in detail:
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1. Script
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- R Script to reproduce figures and tables: supplementary_material_cultural_analytics.rmd
- the script is also provided as a commented html markdown version: supplementary_material_cultural_analytics.html
- to run the script, open the file supplementary_material_cultural_analytics.rmd in Rstudio, install the necessary packages and run each chunk
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2. LDA topic model
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- document-topic-distribution: doc_topics_df.csv
- topic list (top 20 words): top_words_df.csv
- word-topic-assignment: topic_word_assignment.csv (columns with actual tokens and lemmata were deleted due to copyright)
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3. Sura citations
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- a file containing 3grams counted for sura citations only: citations_suras_3grams.tx
Atharvaveda Paippalāda Zurich Edition Book 1
No full textThe first book of the Paippalāda Recension of the Atharvaveda comprises of 112 sūktas (hymns) with a total of 483 stanzas. Each stanza is provided with an English translation, detailed linguistic and Indological comments, critical apparatus, parallel passages in the Sanskrit literature and a full morpho-lexical analysis. This information is encoded in TEI-XML format
Projekt Chancen und Herausforderungen für Praxislehrpersonen teilstrukturierte Interviews
No full textDie Daten sind anonymisiert und die Projektdatei mit der Software MAXQDA zu öffnen.
Zusätzlich liegen die Transkriptionen in Word-Format vor
Narrativen Strukturen in Public Service Announcements
No full textIn der Studie wurde ein einfaktorieller Versuchsplan (between subjects) verwendet. Es wurden Videoclips (ungefähre Länge: 4 Minuten und 30 Sekunden) über arbeitsbedingten Stress und Strategien zu seiner Verringerung im Stil eines öffentlichen Werbespots (PSA) produziert. Arbeitsbedingter Stress wurde als gesundheitsbezogenes Thema gewählt, das in der Botschaft angesprochen wurde
Surface Groups Côte d'Ivoire 1984-2021
No full textSurface groups for Côte d'Ivoire (years 1984 - 2021) as georeferenced TIF files.
Classified land cover (surface) of each pixel indicated as:
0 = built-up surfaces: surfaces with buildings of non-natural materials such as concrete, metal, and glass (e.g., residential buildings, industrial plants, roads)
1 = grassy surfaces: surfaces covered by grass or other plants with similar surface reflectance (e.g., natural grassland, city parks)
2 = surfaces with crop fields: surfaces with vegetation for agricultural purposes (e.g., hayfields, vineyards)
3 = forest-covered surfaces: surfaces covered by trees or other plants with similar surface reflectance (e.g., mixed forests, moors)
4 = surfaces without vegetation: surfaces with (almost) no vegetation or buildings (e.g., bare rock, sand plains)
5 = water surfaces: any type of water surface (e.g., rivers, lakes)
9 = missing surface classification, most likely due to cloud cover
If a TIF file for a given year within the observation period is missing, no valid satellite imagery was available for that year (e.g., due to constant cloud cover)
Zurich Survey of Academics
No full textThe download file consists of the data file (as .csv and .dta), a README file, an overview sheet over the variables, the codebook and the methodological report
Surface Groups Cuba 1984-2021
No full textSurface groups for Cuba (years 1984 - 2021) as georeferenced TIF files.
Classified land cover (surface) of each pixel indicated as:
0 = built-up surfaces: surfaces with buildings of non-natural materials such as concrete, metal, and glass (e.g., residential buildings, industrial plants, roads)
1 = grassy surfaces: surfaces covered by grass or other plants with similar surface reflectance (e.g., natural grassland, city parks)
2 = surfaces with crop fields: surfaces with vegetation for agricultural purposes (e.g., hayfields, vineyards)
3 = forest-covered surfaces: surfaces covered by trees or other plants with similar surface reflectance (e.g., mixed forests, moors)
4 = surfaces without vegetation: surfaces with (almost) no vegetation or buildings (e.g., bare rock, sand plains)
5 = water surfaces: any type of water surface (e.g., rivers, lakes)
9 = missing surface classification, most likely due to cloud cover
If a TIF file for a given year within the observation period is missing, no valid satellite imagery was available for that year (e.g., due to constant cloud cover)
Wiener Aufnahmen (1909-1923): Frankoprovenzalisch
No full textZu diesem Datensatz gehören 9 Aufnahmen (6 aus dem Kanton Jura, 2 aus dem Kanton Neuenburg, 1 aus dem Kanton Bern).
Sprachen: Frankoprovenzalisch und Französisch