Just the Facts? Media Coverage of Female and Male High Court Appointees in Five Democracies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this article, we examine gender differences in news media portrayals of nominees to high courts and whether those differences vary across country and time. Although past research has examined gender differences in news media coverage of candidates for elective office, few studies have looked at media coverage of high court nominees. As women are increasingly nominated to courts around the world, it is important to examine how nominations are covered by the news media and whether there is significant variation in coverage based on gender. We analyze media coverage of high court justices in five democracies: Argentina, Australia, Canada, South Africa, and the United States. We compare coverage of women appointed to the highest court with coverage of the most temporally proximate male nominees. We also compare coverage over time within each country as well as between countries that nominated women early with those that did so more recently. We find some evidence of gendered coverage, especially with regard to the attention paid to the gender of the women appointees.
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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 | 0.000 | 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 it