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.
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.
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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 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) | 0.000 | 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 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".