Media representation of ethnic identity post-September 11th : a comparative case study
Bibliographic record
Abstract
This thesis examines the framing of ethnic, in particular Muslim, identity for the time period of one month following the attack on the World Trade Centre on September 1 1 th, 2001.Using a both quantitative and qualitative approach, several framing strategies of the Canadian Globe and Mail and the German newspaper Suddeutsche Zeitung were identified.The portrayal of ethnic minorities is closely related to questions of minority inclusion and democracy, but the media representation of minorities has in the past been criticized for simplifying issues and for relying on stereotypes.As Edward Said and others have argued, specifically the portrayal of Muslims juxtaposes them to the modern, rational, secular bbWest," and has continuously depicted Muslims as "the Other."This thesis argues that, despite an obvious awareness of the problems of stereotyping and misrepresentation among journalists themselves, the two newspapers examined still continue to adhere to framing strategies which are unfavourable to Muslims and could affect the way in which minorities are perceived within Canada and Germany. Chapter 585 ....
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".