Discourse Analysis: New Language and New Attitude towards Yemen in Contemporary British Novel; Salmon Fishing in Yemen as an Example
Bibliographic record
Abstract
In the critical work on European orientalism, the European scholars approach post 9/11 British neo-orientalist discourse with a totalizing view of representation; a part of the dominant misrepresentation. This study examines issues related to Yemen in Paul Torday’s novel Salmon Fishing in the Yemen (2007). In Salmon Fishing, Torday uses fragmented forms of narrations for his new approach of representation. He uses newspapers, interviews, emails, news articles, document transcripts, diary entries, personal interviews, scientific reports and memoranda as narrative techniques to re-conceptualize the Yemeni people. This study investigates the British political and cultural attitudes towards Yemen and the improvement in the representation of Yemen in post 9/11 British discourse by focusing on the fissures between classic orientalism and neo-orientalism. In the analysis of Salmon Fishing, the study scrutinizes the views of Ralph Emerson and Georg Lukács which are usually associated more closely with studies on representations. The study manifestly identifies the harmony, cooperation and mutual understanding between the east and the west in post 9/11 British discourse on Yemen.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.014 | 0.012 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".