Discrimination and Political Engagement: A Cross-national Test
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
Abstract What is the effect of personal discrimination on the political engagement of ethnic and racial minorities? Existing research theorizes increased engagement, but evidence is mixed. The discrimination and political engagement link is tested across six countries: Canada, Denmark, France, Germany, the United Kingdom, and the United States. Interest in politics and political actions (e.g. protest and donations) show constant relationships: people who have experienced discrimination have more interest in politics and take more political actions. There is no clear evidence of different effects of political vs social discrimination. However, the link between turnout and discrimination varies systematically across countries: a positive correlation in three separate American datasets, but mixed and null in other countries. This may be the result of the distinctive American conflict over voting rights for racial minorities. The conclusion discusses priorities for future research, including a focus on establishing causal relationships and testing mechanisms.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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