The Analysis of 2007 APEC News Coverage on the ABC, CNN and Xinhua Websites
Bibliographic record
Abstract
This essay examines major issues of Australia, the United States and China concerned about in the 2007 APEC Summit held in Australia, and discusses the attitudes of these three countries towards to the 2007 APEC, by examining all the articles about 2007 APEC Summit from three major websites from these countries, ABC, CNN and Xinhua websites. Key words: 2007 APEC Summit; ABC; CNN; Xinhua Resume: Cet article examine les grands evenements de l'Australie, des Etats-Unis et de la Chine au Sommet de l'APEC 2007, qui s'est tenue en Australie, et examine les attitudes de ces trois pays vis-a-vis de l'APEC 2007 en examinant tous les articles sur le Sommet de l'APEC 2007 dans les trois grands sites Web de ces pays, ABC, CNN et Xinhua.Mots-cles: sommet APEC 2007; ABC; CNN; Xinhua
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.012 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".