Race, social pain minimization, and mental health
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
People often believe Black individuals experience less social pain and require less social support to cope with distress than White individuals (e.g., Deska, Kunstman, Lloyd, et al., 2020). However, researchers have not tested whether biases in third-person pain judgments translate to first-person experiences with social pain minimization. For example, do Black individuals feel their social pain is underrecognized to a greater extent than White individuals? The current work tested whether Black individuals felt their social pain was minimized more than White individuals and if the experience of social pain minimization was related to worse mental health and greater life stress. Data from two cross-sectional, correlational studies provide initial support for these predictions ( N total = 1,501). Black participants felt their social pain was minimized more than White participants and this race difference in social pain minimization was associated with worse mental health and greater life stress. These results suggest that Black individuals feel their pain is underrecognized and this experience of social pain minimization is related to worse mental health outcomes.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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