Global and local media dynamics in identity construction among British Muslims after September 11
Bibliographic record
Abstract
The terrorist attacks of September 11 have become a defining moment not only in the history of the US where they took place, but also in the history of Muslims around the world, particularly those living in Western countries. Muslim diasporas in the West have found themselves at the heart of global events and networks: a global war on terrorism, global flows of images and ideas, and a global Muslim community or Umma. Central to these various processes is undoubtedly the role played by new media and communication technologies, mainly transnational TV channels. Thus, based on an ethnographic study conducted in the city of Leeds, this paper explores the dialectic between local and transnational media, particularly British media and Arab satellite television channels, and the extent to which they have shaped identity building among British Muslims after September11. It argues that the use, appropriation and consumption of these media do certainly have a significant impact on how British Muslims define themselves. However, it demonstrates also that this role is far from being deterministic and it is only one among many other factors that condition identity building among British Muslims.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".