Understanding how Latinx youth cope with discrimination: A call to action.
Bibliographic record
Abstract
Racial-ethnic discrimination leads to poorer academic and mental health outcomes for Latinx youth. Although there is a growing literature on the resilience processes that shield Latinx youth from the negative ramifications of these experiences, there is limited work that specifically considers the coping behaviors and processes that youth enact to counter the harmful impact of racial-ethnic discrimination. This limited work is further hampered by a lack of measurement tools that account for the uniqueness of racial-ethnic discrimination as a stressor and the culturally relevant coping strategies endemic to Latinx populations. This article reviews the mixed findings among studies that have examined discrimination, coping strategies, and Latinx youth outcomes. Furthermore, the pressing need for a new measure that would better capture the nuanced manner in which Latinx adolescents cope with racism-related stress is outlined. This work concludes with methodological considerations as well as recommendations for the field's study of coping with the insidious impact of racism-related stress among Latinx adolescents. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".