Parental ethnic–racial socializations messages direct and indirect associations with shift-and-persist coping among minoritized American adolescents.
Bibliographic record
Abstract
OBJECTIVES: The current cross-sectional study examined whether parental cultural socialization, preparation for bias messages, and adolescents' ethnic-racial identity (ERI) were associated with shift-and-persist coping strategy characterized by reappraising and accepting uncontrollable stressors (e.g., discrimination, poverty) while maintaining purpose and a positive future orientation. METHOD: = 1.17, 68.9% girls). Structural equation models examined the direct effects of parental cultural socialization and preparation for bias messages on youth's ERI and shift-and-persist, as well as the indirect effects of socialization messages on shift-and-persist. RESULTS: Preparation for bias and cultural socialization were directly related to a stronger ERI for adolescents, but only cultural socialization was directly associated with greater shift-and-persist. Stronger ERI was associated with greater shift-and-persist, and both cultural socialization and preparation for bias were indirectly associated with greater shift-and-persist. CONCLUSIONS: Frequent parental preparation for bias may be indirectly associated with minoritized adolescent's shift-and-persist coping, whereas cultural socialization impacts youth's shift-and-persisting both directly and indirectly. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
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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 | 0.000 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".