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<title>SCRIPTS Research Data</title>
<link>https://refubium.fu-berlin.de/handle/fub188/43822</link>
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<rdf:li rdf:resource="https://refubium.fu-berlin.de/handle/fub188/46046"/>
<rdf:li rdf:resource="https://refubium.fu-berlin.de/handle/fub188/46781"/>
<rdf:li rdf:resource="https://refubium.fu-berlin.de/handle/fub188/46801"/>
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<dc:date>2026-04-28T02:07:01Z</dc:date>
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<item rdf:about="https://refubium.fu-berlin.de/handle/fub188/46046">
<title>Academic Freedom in Constitutions (AFC) Dataset (1789–2022)</title>
<link>https://refubium.fu-berlin.de/handle/fub188/46046</link>
<description>Academic Freedom in Constitutions (AFC) Dataset (1789–2022)
Spannagel, Janika
The Academic Freedom in Constitutions (AFC) dataset is a global comparative dataset with de jure provisions on academic freedom at the level of national constitutions. It covers constitutional guarantees of the freedom of science, of academic freedom, of university autonomy, as well as of the freedom of teaching in 203 countries, spanning the period from 1789 to 2022.
</description>
<dc:date>2024-01-01T00:00:00Z</dc:date>
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<item rdf:about="https://refubium.fu-berlin.de/handle/fub188/46781">
<title>Climate skepticism and action: The Philippines Survey</title>
<link>https://refubium.fu-berlin.de/handle/fub188/46781</link>
<description>Climate skepticism and action: The Philippines Survey
Soysal, Yasemin Nuhoglu; Kim, Jessica; Boado, Hector Cebolla; Schimmoller, Laura; Kou, Yi; Palcios, Juan Sebastian Rico
This survey is part of the research project The Ecology of Individuals’ Disposition for Climate Change Populism, funded by the SCRIPTS Cluster of Excellence.  The project aims to investigate how global, national, and individual-level factors shape climate change skepticism and action.  Unlike many studies that focus solely on individual-level, socio-economic determinants of climate-change attitudes, this survey examines the interactions between micro and macro-level mediators of such attitudes.  The survey was conducted in the Philippines from March to April 2024.  Respondents were recruited through online access panels (double opt-in) established by RAKUTEN, an external survey contractor. Details about their recruitment methods and panels are provided in the attached documentation. The survey was administered by RAKUTEN using the CAWI (Computer-Assisted Web Interviewing) method. The target population consisted of adults (18+) holding Philippine citizenship.  A quota sampling method, based on age, gender, and region of residence, was employed to ensure a representative sample.  The final sample size was 1,500 respondents.  The survey explores levels of skepticism about climate change in relation to 1) trend skepticism (doubts about whether climate change is happening or real), 2) attribution skepticism (doubts about the role of humans in driving climate change),  3) impact skepticism (doubts about the seriousness of climate change threat), 4) respondents’ reasoning for or against reducing emissions in their home country, and 5) their willingness to take action to reduce the effect of climate change.  In addition to standard socio-demographic questions, respondents answered questions about trust in science and scientists, self-efficacy, personal freedoms, authoritarian personality traits, overconfidence, and individual exposure to global influences. The survey included both standard questions and survey experiments. Where available, we adapted suitable questions from other social surveys, the International Social Survey Program (ISSP) Environmental modules, the World Values Survey, the Eurobarometer, and the Public Attitudes Toward Liberal Script Survey (PALS).  The science populism scale was taken from Mede, Schäfer, and Füchslin (2021).  Mede, Niels G; Schäfer, Mike S; Füchslin, Tobias (2021). The SciPop Scale for measuring science-related populist attitudes in surveys: Development, test, and validation. International Journal of Public Opinion Research, 33(2):273-293. DOI: https://doi.org/10.1093/ijpor/edaa026
</description>
<dc:date>2025-01-01T00:00:00Z</dc:date>
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<item rdf:about="https://refubium.fu-berlin.de/handle/fub188/46801">
<title>PAYOFF – Dataset on public attitudes concerning the FIFA World Cup in Qatar</title>
<link>https://refubium.fu-berlin.de/handle/fub188/46801</link>
<description>PAYOFF – Dataset on public attitudes concerning the FIFA World Cup in Qatar
Giebler, Heiko; Gerschewski, Johannes; Hellmeier, Sebastian; Keremoğlu, Eda; Zürn, Michael
The 2022 FIFA World Cup is held in Qatar, one of the most autocratic regimes in the world. Authoritarian regimes increasingly use major international sporting events to improve their international reputation and distract from human rights abuses.&#13;
The project PAYOFF aims to show whether hosting “authoritarian games” influences public opinion abroad, and whether it pays off for authoritarian regimes to host a major sporting event like the 2022 World Cup to increase their legitimacy in the eyes of external audiences.&#13;
&#13;
We fielded an online panel survey (repeated measures, within-subjects design) with three waves before (November), during (November/December) and after the FIFA World Cup (February/March) in eight European countries (Germany, Sweden, Italy, Great Britain, Croatia, Romania, Poland and Hungary). We trace and analyze respondents' attitudes towards Qatar over time. The study also includes several survey experiments.
</description>
<dc:date>2025-01-01T00:00:00Z</dc:date>
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<item rdf:about="https://refubium.fu-berlin.de/handle/fub188/46047">
<title>PolitiCause: An Annotation Scheme and Corpus for Causality in Political Texts</title>
<link>https://refubium.fu-berlin.de/handle/fub188/46047</link>
<description>PolitiCause: An Annotation Scheme and Corpus for Causality in Political Texts
Corral, Paulina Garcia; Bechara, Hanna; Zhang, Ran; Jankin, Slava
An Annotation Scheme and Corpus for Causality in Political Text. PolitiCAUSE is a corpus of political texts annotated for causality. We provide two types of information: (1) whether a sentence contains a causal relation or not (2) the spans of text that correspond to the cause and effect components of the causal relation. The dataset is available in two ways: (1) As a full dataset containing all annotations and statistics for 55,754 annotation instances. (2) As a train, validation and test splits containing the text and the label of 17,780 unique sentences. We benchmarked the dataset using three transformer-based classification models, the models achieve a moderate performance on the dataset, with a MCC score of 0.62. PolitiCAUSE is a valuable resource for studying causality in texts, especially in the domain of political discourse.
</description>
<dc:date>2024-01-01T00:00:00Z</dc:date>
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