Experiencing Racism: Differences in the Experiences of Whites Married to Blacks and Non-Black Racial Minorities
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
Interracial marriages between blacks and majority group members often face higher social sanctions than other types of interracial marriages. Therefore, majority group members in interracial marriages with a black partner may learn to conceptualize racial issues differently than those without black partners. This paper conducts a preliminary investigation into whether the racial perspectives of white spouses in interracial marriages with blacks are different from the perspectives of whites in interracial marriages with non-blacks. White partners of twenty-one interracial marriages are interviewed. While whites married to non-blacks alter their racial perspectives, they do not experience racism as do whites married to blacks. These experiences of racism. may change white perspectives on specific racial issues such as affirmative action and racial profiling. This research suggests the experiences of whites in interracial marriages vary depending on the race of their marital partners.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| 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