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Record W2106542727

“Moros en la costa”: Islam in Spanish visual and media culture

2012· article· es· W2106542727 on OpenAlexaff
Lauren Beck

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2012
Typearticle
Languagees
FieldArts and Humanities
TopicHispanic-African Historical Relations
Canadian institutionsMount Allison University
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Los medios de comunicación occidentales caracterizan a los musulmanes como anticuados, fanáticos belicosos que carecen de razón y que exhiben ciertos rasgos físicos. Los polemistas medievales islamificaron a los musulmanes para los lectores occidentales que tenían escaso contacto con el Islam. La islamificación es un discurso que aún domina la representación del Islam, aunque ha evolucionado durante siglos. En este artículo se examina la representación del Islam en los medios de comunicación españoles y de otros países europeos en relación con el orientalismo medieval y moderno, y la aparente fusión de los dos en los medios contemporáneos, y específicamente en los periódicos, la pintura y las viñetas políticas. Palabras clave: medios de comunicación, islam, islamificación _______________________ Abstract: Muslims in western media can be portrayed as antiquated, un-modern, bellicose fanatics who lack reason and exhibit certain physical characteristics. Medieval polemics islamified Muslims for westerners who had relatively little contact with Islam. The discourse of islamification is one that still dominates the representation of Islam, although it has evolved over the centuries. This article examines the representation of Islam in Spanish and European media culture in terms of medieval and modern orientalism, and an apparent fusion of these two representational modes in contemporary media representations that include newspapers, painting and political illustration. Keywords: media, islam, islamification

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score0.244

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0070.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.166
GPT teacher head0.505
Teacher spread0.340 · 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 designQualitative
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

Citations4
Published2012
Admission routes1
Has abstractyes

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