Intimate racism from one's partner in young intercultural couples
Bibliographic record
Abstract
Abstract Racism from one's partner is a highly sensitive phenomenon that has received little research attention. The current research introduces the concept of “intimate racism” to refer to racism from close others. The manifestation of intimate racism in intercultural romantic relationships was explored with a sample of 92 racialized minorities who were currently, or previously, in an intercultural relationship. An online survey enquired about the experience of racism from their partner, and responses were coded and analyzed using thematic content analysis. More than 50 different manifestations of intimate racism emerged and these were grouped into eight categories: explicit racism, microinsults, microinvalidations, positive stereotypes, racial fetishization, partner abuse, defensiveness, and others. Co‐occurrence analyses revealed links between intimate racism with negative, neutral and positive experiences, which were connected to participants’ responses to racism (e.g., confronting, disengaging) and to stressful identity experiences. The present work opens a new field of study to examine intimate racism and its implications.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".