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Record W3205339320 · doi:10.7771/1481-4374.3587

Representation of Terror and Terrorism in Two Arab Films: <em>Paradise Now</em> (2005) by Hany Abu-Assad and <em>Horses of God</em> (2012) by Nabil Ayouch

2021· article· en· W3205339320 on OpenAlex
Mustapha Hamil

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCLCWeb Comparative Literature and Culture · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East Politics and Society
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsParadiseTerrorismHumanityMovie theaterRepresentation (politics)HollywoodIslamSociologyArtReligious studiesLawPolitical scienceCriminologyPoliticsHistoryLiteratureAncient historyArt historyPhilosophyArchaeology

Abstract

fetched live from OpenAlex

Middle Eastern violence and terrorism are not novel subjects in world cinema, especially American cinema. The Arab or Muslim other in these films is always presented as someone who epitomises a culture of violence, directed mostly against innocent civilians. Against the backdrop of Hollywood’s stereotypical representation of Middle-Easterners as advocate of indiscriminate terror and terrorism, Arab filmmakers have turned in recent years to the representation of terror and religious extremism. Paradise Now (Abu Assad 2005) and Horses of God (Ayouch 2012) address the controversial issue of suicide bombing with the same motivation: to examine the choice of suicide bombing within its immediate socio-economic and politico-religious milieu. Both works have raised eyebrows in the Arab world as well as in the West as to their unorthodox cinematographic representation of terrorism. For a reason. Both films tend to demystify the idea of martyrdom while still granting the suicide bombers their humanity.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.413
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.019
GPT teacher head0.306
Teacher spread0.287 · 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