Understanding the association between everyday discrimination and self-esteem among young adults: Mediating role of personality traits
Bibliographic record
Abstract
Abstract This study aimed to examine the association between perceived everyday discrimination and self-esteem and whether this relationship can be mediated by personality traits among young adults. Data were drawn from the Panel Study of Income Dynamics Transition into Adulthood supplement (n = 1,288). Structural Equation Modeling path analysis was used to examine the association between everyday discrimination, personality traits, and self-esteem. The results showed that elevated everyday discrimination was significantly associated with lower self-esteem (b = −0.23, P < .001), and this association was mediated by neuroticism (effects = −0.157; P < .001) and conscientiousness (effects = −0.334; P < .001). These findings underscore the importance of incorporating personality-focused strategies in interventions designed to mitigate adverse effects of everyday discrimination on young adults. School and community-based programs can play a significant role in reducing negative impacts of discrimination and fostering young adults’ self-esteem.
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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 | 0.000 | 0.000 |
| 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".