The Neuroscience of Stigma and Stereotype Threat
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
This article reviews social neuroscience research on the experience of stigma from the target's perspective. More specifically, we discuss several research programs that employ electroencephalography, event-related potentials, or functional magnetic resonance imaging methods to examine neural correlates of stereotype and social identity threat. We present neuroimaging studies that show brain activation related to the experience of being stereotyped and ERP studies that shed light on the cognitive processes underlying social identity processes. Among these are two projects from our own lab. The first project reveals the important role of the neurocognitive conflict-detection system in stereotype threat effects, especially as it pertains to stereotype threat `spillover'. The second project examines the role of automatic ingroup evaluations as a neural mediator between social identity threats and compensatory ingroup bias. We conclude with a discussion of the benefits, limitations, and unique contributions of social neuroscience to our understanding of stigma and social identity threat.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 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