Can cultural identity clarity protect the well-being of Latino/a Canadians from the negative impact of race-based rejection sensitivity?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: The aim of the present study was to examine the understudied immigration and acculturation experience of the growing Latino/a community in Canada. Specifically, we explored the impact of race-based rejection sensitivity on well-being, and whether cultural identity clarity could help curtail any negative effects. Hypothesis 1 was that race-based rejection sensitivity would be negatively associated with well-being. Hypothesis 2 was that cultural identity clarity would moderate the association between race-based rejection sensitivity and well-being such that Latino/a immigrants lower in cultural identity clarity would experience poorer well-being than those higher in cultural identity clarity. METHOD: A community sample of Latino/a immigrants (N = 136; Mage = 38.21; 51.47% female) completed a survey including measures of race-based rejection sensitivity, cultural identity clarity, bicultural stress, self-esteem, and life satisfaction. RESULTS: Correlation and regression analyses revealed that race-based rejection sensitivity was negatively associated with well-being. Additionally, high cultural identity clarity attenuated the negative association between race-based rejection sensitivity and well-being. CONCLUSION: Results of the present study suggest maintaining clarity over their heritage cultures postimmigration can be beneficial to Latino/a immigrants in Canada, in particular when they are sensitive to cues of racial discrimination. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it