An Overview of Economic and Social Opportunities and Disadvantage in European Households
Bibliographic record
Abstract
The socioeconomic position one Starts from in life is a key determinant of life chances, as consistently shown by a vast research literature across different disciplines and relating to various industrialized societies. However, that socioeconomic starting point is a far from perfect predictor of outcomes - some people do better, and some worse, from what look to be similar starting points. Furthermore, the price paid by those who do poorly can itself be very different in different societies. So there is much to be learned from the way different societies seek to promote healthy development and minimize the price of failure. The aim of this chapter is to provide an overview of socioeconomic disadvantage versus opportunity in Europe. It is focused in particular on human capital and its relationship to opportunities and disadvantage for individuals and households over the life course. It both draws on recent research and investigates an exciting new source of comparative data, the European Community Household Panel survey (ECHP). This allows an in-depth examination of the countries currently in the European Union (EU), which we put in perspective where possible by drawing on information about a number of countries soon to join the Union, and about Canada and the United States.
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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 | 0.000 | 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 | 0.001 |
| 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".