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Record W7128514332 · doi:10.64903/1480-6800.22.4.277

The Role of American Daily Newspapers in Charting a Territorial Imagination for the Arab/Muslim World

2019· article· W7128514332 on OpenAlexvenueno aff
Ghazi-Walid Falah

Bibliographic record

VenueArab world geographer · 2019
Typearticle
Language
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsNewspaperRepresentation (politics)GeopoliticsPoliticsPeriod (music)PerceptionJournalismFrame analysis

Abstract

fetched live from OpenAlex

The paper probes aspects of the seemingly stereotypical perception in North American media of the Muslim and Arab worlds, their societies and peoples, by focusing on key dimensions of the representation of Arab and Muslim people and their places. To this end, four daily newspapers (The Columbus Dispatch, The Chicago Tribune, The Plain Dealer and The Los Angeles Times) have been surveyed systematically for a specific period of time, post 9/11, 2001 down to the eve of the U.S. war on Iraq in early March 2003. The study shows that the discourse on Muslim/Arab people and their visual representation are implicated in and affected by much wider political discourses and thus saturated with geopolitical import and insinuation. The investigation made focused on use of numerous examples from Iraq during the prolonged build-up to the March 2003 attack. The study offers empirical findings to corroborate the thesis that newspapers enjoy extraordinary freedom to frame and bend and distort the ways in which information is reported, interpreted and ‘packaged.’ Central to my thesis here is the examination of what I have called the “editorial arrangement” engaged in by newspaper editors in reporting on Muslim/Arab-related issues. It was within this type of packaging of ‘visuals’ in concrete particular that Muslim and Arab people and places are misrepresented.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.722
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.009
GPT teacher head0.273
Teacher spread0.264 · 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 designNot applicable
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
Published2019
Admission routes1
Has abstractyes

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