Embedding Anglocentric Perceptions of the World: The Falklands-Malvinas Binomial in the News
Bibliographic record
Abstract
This paper aims to examine the clash between languages and cultures as identified in the treatment of news events, with particular reference to the Falklands, or Malvinas in their Spanish denomination, in British and Spanish Internet news portals. English, as a global language, and Spanish, as its main European rival, exemplify a conflict between two languages and cultures that attempt to achieve or maintain world dominance, a battle that has been taken to the Internet arena in recent years. Thus, El País newspaper launched an English version for their Internet readers whereas the BBC produced a Spanish version of its English news service. The conflict between the two languages is decisive when reporting on highly sensitive areas in each culture, such as the issue of Gibraltar’s sovereignty or the news events originating in or around the Falkland Islands. The paper pays particular attention to the latter and the way in which translation is embedded within or is part of the conflict itself. For that purpose, the paper surveys the reports posted in the Spanish news web sites Abc, El País, and El Mundo, on the one hand, and the English portals of The Guardian, The Times, Daily Telegraph, The Independent and the BBC on the other. The results will be compared with the translated news in the English edition of El País and in the Spanish version of the BBC (BBCMundo) respectively to determine the position of the two media with regards to this issue.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".