Perceived status threat and health among White Americans: A scoping review
Bibliographic record
Abstract
perceptions of status threat shape individual health outcomes. Because of this, we sought to identify and synthesize research studies across disciplines that broadly explored how perceived threats to White Americans' social status affect their health. Our research objectives were to (1) examine how status threat (and related constructs) have been measured across the health and social sciences, (2) determine which health outcomes and behaviors are related to status threat, and (3) identify gaps in the existing knowledge base. We systematically searched six multidisciplinary databases. Only 12 studies met inclusion criteria, suggesting that status threat and Whites' health is an understudied topic that warrants continued investigation. Furthermore, there was inconsistency in how threats to status were measured and conceptualized across disciplines. Threat-related indicators evaluated changes in Democratic or Republican vote share, perceived racial treatment, financial status, personal identification with political party affiliation, perceptions of hypothetical "majority-minority" population shifts, racial awareness, and subjective social status. Studies primarily relied on self-rated measures of overall health, mental health status, and social determinants of health. Consequently, there is a gap in the literature concerning which specific health outcomes (besides mortality) are directly affected by status threat. Overall, included studies demonstrated that Whites' can experience negative health effects when they perceive threats in societal conditions, within their interpersonal social experiences, or related to their individual social standing. Moving forward, researchers should consider how Whites' beliefs about their position within social hierarchies potentially affect individual and group-level health outcomes.
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How this classification was reachedexpand
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".