Taking a look in the virtual mirror: Implications of self-observation by White individuals during online intergroup exchanges for their own and their racialized partners’ experience
Bibliographic record
Abstract
Concerns about being viewed negatively by outgroup members can have harmful implications for intergroup interaction. In line with the information search model, research suggests that trying to empathize with outgroup partners—by virtue of still involving taking outgroup members’ perspective—can lead right back to evaluative concerns. The present experiment (276 dyads) tested the model’s further prediction that—by virtue of still involving a focus on the self—stimuli that typically instantiate private self-awareness and prompt enhanced self-regulation also lead right back to evaluative concerns and their disruptive effects in interaction settings. Higher and lower prejudice White individuals (HPs and LPs) turned their self-view on or off during an online exchange with a partner with a marginalized racial background. Although there were some exceptions, results were generally consistent with predictions: Racialized individuals benefitted when HPs engaged in self-observation, but everyone was better off if LPs could not watch themselves.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".