Bibliographic record
Abstract
On March 19, 2003, the United States and Great Britain began an all-out war against Iraq. The objective of the war was to change the political regime in Iraq and to oust its dictator, Saddam Hussein. France was not only opposed to the invasion in Iraq, but it also actively worked to prevent the US and Great Britain from obtaining a resolution from the UN Security Council to authorize the war. This demarche of the French created huge resentment against France in American public opinion and particularly among the political establishment in the United States. French opposition to the war in Iraq has triggered a huge wave of Francophobia in the US media and has resulted in a serious rift in Franco-American relations. This paper aims to analyse the content of political francophobia displayed in selected US newspapers (The New York Times, The Washington Post, The Wall Street Journal), as well as in the Weekly Standard magazine, during the Iraq crisis (2002-2004).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".