Documentation Status Socialization as an Ethnic-racial Socialization Dimension: Incorporating the Experience of Mixed-status Latinx Families
Bibliographic record
Abstract
Ethnic-racial socialization (ERS) serves as a protective factor in the development of minority children. However, few studies have focused on mixed-status Latinx families to include the broad expression of their ethnic-racial socialization practices centering on their immigration experiences as they teach their children the risks and restrictions of having undocumented status. These parents adapt their ERS in accordance with their experiences of stress, fear, and discrimination, all of which shape the type and frequency of their socialization messages. Through documentation status socialization, Latinx parents forewarn their children of the inequities associated with their ethnic-racial group and undocumented status, including possible family separation. They also teach children about nativity differences and the attendant privilege of having documented status. This manuscript highlights insights to be gained by considering documentation status socialization as an ERS dimension within Latinx families. Learning about the specific ERS practices of such an understudied group is a social justice issue with important implications for understanding how these families might adapt and respond to their social context, especially amidst a political environment that engenders fear and isolation throughout their community. Including documentation status socialization in the ERS literature is a crucial step towards developing a deeper understanding of how the structural and social forces operating within the lives of undocumented immigrants impact normative family processes that ultimately exert an influence on their children’s development. A discussion on implications for practitioners and service providers working with this population is also included.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| 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".