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Record W334241474

Islam in Catalonia

2010· article· en· W334241474 on OpenAlexaboutno aff
Stephen Schwartz

Bibliographic record

VenueMiddle East Quarterly · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicReligious Freedom and Discrimination
Canadian institutionsnot available
Fundersnot available
KeywordsCatalanImmigrationIslamArabicEmigrationAncient historyHistoryPolitical scienceCapital (architecture)EthnologyEconomic historyGeographyHumanitiesLawArchaeologyArt
DOInot available

Abstract

fetched live from OpenAlex

Musulmans a Catalunya: El repte de l'integracio i la Uibertat religiosa (Muslims in Catalonia: The Challenge of Integration and Religious Freedom). By Alex Seglers GomezQuintero. Barcelona: Angle Editorial, 2004. 206 pp. euro15.90. The history of the Catalans and Islam is distinctive from that of the rest of Spain. The Catalan language, which counts some 10 million speakers, is an official idiom along with Castilian, in the Spanish regions of Catalonia, Valencia, and the Balearic Islands. Barcelona, the great Catalan metropolis, was taken back from conquerors in the year 80 1 - only ninety years after the Umayyad invasion of 7 1 1 - and became the capital of the Marca Hispanica, or the Spanish March, controlled by the Christian heirs of Charlemagne. Catalonia was thus never part of Al-Andalus and is one of the few regions of Spain from which a cultural legacy, in the form of architectural monuments and Arabic loan-words, is absent. immigration became a significant recent phenomenon in Catalonia in the 1980s when the need for agricultural labor in the region's rich vineyards and other farming enterprises became acute. Seglers, the author of a Catalunya, is a professor of ecclesiastical law at the University of Barcelona and has conducted wide-ranging studies of immigration in Canada and throughout the European Union. This book, aimed mainly for the use of Catholic clerics and governmental authorities, is a serious, factually -based examination of the legal issues that have emerged as Catalonia has struggled with North African and black African immigration. While Seglers does not take up the point, Catalonia resembles, in some ways, the Flemish areas of Belgium, the Netherlands, the Scandinavian countries, and Switzerland vis-a-vis the challenges presented to a native population by an influx of new residents. Muslims represent a minority in these territories (anywhere from 4-6 percent of the population according to a 2005 estimate) and are increasingly demanding special status for themselves. In the meantime, the Catalans, Flemish, Dutch, etc. are communities and nations with small populations whose cultures and languages vary from those of their larger European neighbors. If Muslims are a minority in Catalonia, Catalans are a minority in Spain. Catalans, and other small European nations, thus fear cultural dilution from two directions, and concern about a growing, and increasingly militant, population in these small Western European communities is based in reality. At the same time, new residents have, for the most part, been slow to recognize the sense of cultural threat felt by those from whom they ask a privileged protection. Seglers argues that a peaceful integration of Muslims in Catalan life is possible if it is based on acceptance of European democratic values. The author writes that guarantees of religious freedom in Europe must rest not on acceptance of Islamist demands for special treatment but in demarcating the principle that Muslims may become citizens, as long as they jettison the tenets of Islamist ideology. As he writes, Muslim citizenship and Islamism remain at odds, producing hidden conflicts. Such conflicts include controversies over Islamist proposals for European accommodation to Shari'a-based family law with rights to polygamy and an acceptance of forced marriages. …

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.112
Threshold uncertainty score0.222

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.002

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 head0.023
GPT teacher head0.268
Teacher spread0.245 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2010
Admission routes1
Has abstractyes

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