Mohammedkarikatyrerna och skapandet av den Andre : En diskursanalys av den andres dominerande roll och identitet i Sverige
Bibliographic record
Abstract
The aim of the paper is to explore the dominating perception of the Other after the conflict regarding the Danish Mohammed caricatures. How Swedish newspapers have portrayed Arabs, which role they have been given in society and what problems they are struggling with is going to be the focus of this thesis. As methodological approach I chose discourse analysis, since it presents a view where language defines and structures our understanding of reality. Through the study of various Swedish newspaper articles, this essay tries to illustrate the implicit yet existent negative image of the Arabs as a group and potential alternative ways of understanding the Other. The perception of Arabs is a product of a necessary imaginary foe, a mirror image of the bad and strange in contrast to the idyllic and safe Swedish nationality. The rhetoric’s of the discourse are therefore constructed between a politics of acknowledgement and a will to culturally dominate the Other. To challenge this view the citizens of a nation must accept it as nothing more than an imaginary design.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".