What Did You Just Call Me? European and American Ratings of the Valence of Ethnophaulisms
Bibliographic record
Abstract
Previous work has examined the relative valence (positivity or negativity) of ethnophaulisms (ethnic slurs) targeting European immigrants to the United States. However, this relied on contemporary judgments made by American researchers. The present study examined valence judgments made by citizens from the countries examined in previous work. Citizens of 17 European nations who were fluent in English rated ethnophaulisms targeting their own group as well as ethnophaulisms targeting immigrants from England. American students rated ethnophaulisms for all 17 European nations, providing a comparison from members of the host society. Ratings made by the European judges were (a) consistent with those made by the American students and (b) internally consistent for raters’ own country and for the common target group of the English. Following discussion of relevant methodological issues, the authors examine the theoretical significance of their results.
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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 | 0.001 |
| 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".