They Saw a Triple Lutz: Bias and Its Perception in American and Russian Newspaper Coverage of the 2002 Olympic Figure Skating Scandal<sup>1</sup>
Bibliographic record
Abstract
We explored bias and its perception in newspaper reports of the 2002 Olympics figure skating controversy. American and Russian articles were examined for their perceptions of the Canadian and Russian pairs' performances, directionality of the Russian and American media and publics' biases, and media awareness of those biases. Reporters' accounts varied as a function of country of affiliation and indicated a one‐sided acknowledgment of media and public bias. The American media acknowledged a pro‐Canadian bias in their reporting; there was no self‐bias acknowledgment in the Russian press. Country of affiliation produced one‐sided coverage of this event, and even the American media's awareness of self‐biases did not ensure bias‐free reporting. These findings are discussed amid respective countries' cultural and political contexts.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".