Inequality from Generation to Generation: The United States in Comparison
Bibliographic record
Abstract
To understand the degree of intergenerational mobility in the United States, and the differences between Americans and others, it is important to appreciate the workings and interaction of three fundamental institutions: the family, the market, and the state. But comparisons can also be misleading. The way in which families, labor markets, and government policy determine the life chances of children is complicated; the result of a particular history, societal values, and the nature of the political process. It might be one thing to say that the United States has significantly less intergenerational mobility than Denmark or Norway, but it is entirely another thing to suggest that these countries offer templates for the conduct of public policy that can be applied on this side of the Atlantic. There is no way to get from here to there. It is helpful to focus on a particularly apt comparison, that between the United States and Canada, in order to illustrate how the configuration of the forces determining the transmission of inequality across generations differs in spite of the fact that both of these countries share many other things in common, particularly the importance and meaning of equality of opportunity and the role of individual hard work and motivation.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".