Growing up in North America: The economic well-being of children in Canada, the United States, and Mexico
Bibliographic record
Abstract
Globalization is changing the landscape of childhood. As part of such change, North America is also becoming more economically, socially, and culturally integrated. It is against this backdrop of economic, social, and cultural transformation that the Children in North America Project is examining the well-being of the 120 million children across the continent. This paper examines the economic security of children across North America, looking at a range of measures, including family income, access to basic goods such as housing and health care, and the scope of public resources available to improve the economic security of families with children. Our findings confirm that there are tremendous disparities in the economic well-being of children across North America, both between and within the three countries. Even as the national economies recovered from economic crises in the early and mid-1990s and levels of child poverty started to fall, families at the top of the income ladder continued to pull away from the rest and incomes at the bottom stagnated or fell as was the case in Mexico. While the majority of children growing up in the United States and Canada enjoy a level of economic security not available to millions of Mexican children, the pattern of income inequality was common in each country.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".