The paradox of journalistic representation of the other
Bibliographic record
Abstract
This paper primarily looks at one of the essential aspects of global (usually western) journalists' praxis of covering and depicting the other (generally the non-western). Content analysis of quantitative and qualitative attributes of media coverage of the SARS outbreak with regard to China and Vietnam from newspapers in five countries, including the Washington Post (USA), The Times (UK), the Sydney Morning Herald (Australia), the Globe & Mail (Canada), the Straits Times (Singapore), Newsweek and online news was undertaken. Findings show that while the western news coverage on China corroborated the image of the other in an unfavorable light, Vietnam was not portrayed as the negative other. Differences in China's and Vietnam's handling of SARS have affected their news coverage by the media. Both internal forces and external factors, interplaying and often competing, have contributed to the dynamic process of news coverage and image construction in the international media.
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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 | 0.013 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.008 | 0.026 |
| Scholarly communication | 0.015 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| 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".