Short-Term Bidirectional Relationships Between Familism and Ethnic-Racial Identity in Black and Latinx Young Adults
Bibliographic record
Abstract
Familism values, which emphasize respect, support, loyalty, obligation, and family cohesion, are important cultural values in racially and ethnically minoritized groups that can promote well-being and protect against various life stressors (Stein et al., 2017; Sayegh & Knight, 2011 ; Valdivieso-Mora et al., 2016). Ethnic-racial identity is a significant developmental task that includes the cultural beliefs, behaviours, and attitudes connected to an individual's culture and their sense of belonging to their ethnic and/or racial groups (Phinney, 1992; Umaña-Taylor et al., 2014). Empirical research has shown that certain aspects of ethnic-racial identity, such as centrality, are linked to higher levels of endorsement of familism values (Kiang & Fuligni, 2009). While extensive research has examined familism within Latinx populations and youth, little research has examined how familism values operate in other marginalized groups, particularly how familism values may relate over time to ethnic-racial identity. This study aims to explore the short-term, bidirectional relationships between familism values and ethnic-racial centrality (i.e., importance of race/ethnicity in one’s sense of self). Specifically, across 5 waves of data each collected 3 months apart, we will employ cross-lagged panel modeling to examine the degree to which familism and ethnic-racial centrality relate to each other across time in a sample of Latinx and Black young adults in Canada. Potential group differences in these relations between Black and Latinx young adults will be explored. The findings of this research will contribute to enhancing our understanding of how familism values contribute to the resilience and continued ethnic-racial identity formation (and vice-versa) among Black and Latinx young adults.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 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".