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Record W4246132758 · doi:10.22215/rera.v2i3.174

Denmark as the Big Satan: Projections of Scandinavia in the Arab World and the Future of Multiculturalism

2006· article· en· W4246132758 on OpenAlexvenueno aff
Per Anders Rudling

Bibliographic record

VenueReview of European and Russian Affairs · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicMedia, Religion, Digital Communication
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismOffensiveDanishPoliticsDemocracyNewspaperIslamPolitical scienceTerrorismNorwegianLawEconomic historySociologyHistory

Abstract

fetched live from OpenAlex

During the winter and spring of 2006, Denmark and Scandinavia faced its most serious crisis since World War II. The conflict started as a Danish newspaper published a number of cartoons, some of which portrayed the prophet Muhammad. After the Danish government rejected their requests to censor the media, Danish Islamists distributed these pictures to some senior political and religious figures in the Middle East and requested their support against Denmark. To these pictures, they added a number of more offensive images, never published in any Danish newspaper in order to infuriate Muslims around the world. Muslim clerics, assisted by the governments of Saudi Arabia, Syria and Iran caused the region to explode in protest and violent riots, in which 44 people were killed. Danish products were boycotted across the Muslim world; Scandinavian embassies were attacked and set ablaze in Syria, Iran, Lebanon and Indonesia. Islamists promised substantial rewards for anyone who would murder Danish and Norwegian peacekeepers, and Scandinavian UN forces were attacked in Palestine and Afghanistan. The Scandinavian countries and the EU are struggling to find a way to address the issue of radical Islam within their societies, and how to defend liberal democratic values from attacks from its enemies. This process may lead to a redefinition of values, a shift from multiculturalism to an embrace of the democratic western values upon which the European states are based.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.968
Threshold uncertainty score0.314

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.234
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2006
Admission routes1
Has abstractyes

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