US Citizenship for our Mexican Children! US-born Children of Non-Migrant Mothers in Northern Mexico
Bibliographic record
Abstract
We analyze the presence of non-migrant US-born children aged 0–4 in the northern states of Mexico and associated factors by parental nativity. Based on the 2020 Mexican Census, we describe the location, population size, and sociodemographic profiles of these children. We also estimate regression models to examine factors associated with children’s US nativity. We found that US births to non-migrant mothers have become a more prevalent source of US-born children than return migration in recent years. Non-migrant US-born children slightly declined from 2010 to 2020 and continued to be concentrated in northern states, particularly in the border municipalities. Multivariate regression models reveal that, among children of Mexico-born parents, being non-migrant US-born was associated with higher levels of parental schooling, socioeconomic status, or cross-border employment. Births in the U.S. are more common among Mexican middle-upper status families suggesting a selection process that may contribute to social reproduction by increasing their children’s future socioeconomic opportunities relative to Mexico-born children. However, among those with US-born parents, US birth does not vary by socioeconomic status showing those with easier access to the United States and transnational social capital do not need additional resources to secure US citizenship.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".