Ethnic identity development and ethnic discrimination: Examining longitudinal associations with adjustment for Mexican‐origin adolescent mothers
Bibliographic record
Abstract
Few studies examine normative developmental processes among teenage mothers. Framed from a risk and resilience perspective, this prospective study examined the potential for ethnic identity status (e.g., diffuse, achieved), a normative developmental task during adolescence, to buffer the detrimental effects of discrimination on later adjustment and self-esteem in a sample of 204 Mexican-origin adolescent mothers. Ethnic discrimination was associated with increases in depressive symptoms and decreases in self-esteem over time, regardless of ethnic identity status. However, ethnic discrimination was only associated with increases in engagement in risky behavior among diffuse adolescents, suggesting that achieved or foreclosed identities buffered the risk of ethnic discrimination on later risky behavior. Findings suggest that ethnic identity resolution (i.e., the component shared by those in foreclosed and achieved statuses) may be a key cultural factor to include in prevention and intervention efforts aimed to reduce the negative effects of ethnic discrimination on later externalizing problems.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".