Inequality during the Early Years: Child Outcomes and Readiness to Learn in Australia, Canada, United Kingdom, and United States
Bibliographic record
Abstract
This study of the emergence of inequality during the early years is based upon a comparative analysis of children at the age of about five years in Australia, Canada, the United Kingdom and the United States. We study a series of child outcomes related to readiness to learn, focusing on vocabulary development and externalizing behavior. Our major findings are three in number. First, significant inequalities in child capacities emerge even in these early years in all four countries but the disparities are notably greater in the United States and the United Kingdom than in Australia, and particularly in Canada. Second, large differences in cognitive outcomes exist in all countries between children from disadvantaged backgrounds and the mainstream and these are of similar magnitudes across countries. Differences across countries in the overall disparity between cognitive outcomes of the least and most advantaged, therefore, largely reflect variation in the degree to which children at the top of the SES distribution out-perform those in the middle. Third, disparities in social and behavioral development are markedly smaller than in cognitive outcomes and differ from cognitive outcomes in their association with SES across countries. While the smallest SES gaps are found in Australia and Canada for both types of outcome, differences in cognitive outcomes are greatest in the US, while differences in behavioral outcomes are greatest in the UK.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".