Measuring Child Poverty: New league tables of child poverty in the world's rich countries
Bibliographic record
Abstract
Report Card 10 considers two views of child poverty in the world’s advanced economies: a measure of absolute deprivation, and a measure of relative poverty. The first measure is a 14-item Child Deprivation Index that represents a significant new development in international monitoring, drawing on data from the European Union’s Statistics on Incomes and Living Conditions survey of 125,000 households in 31 European countries, which has included a section on children for the first time. Children were considered 'deprived' if they lacked two or more of the items, which ranged from three meals a day, to an Internet connection. The second measure covers the EU and an additional six OECD countries (Australia, Canada, Japan, New Zealand, Switzerland and the United States) and examines the percentage of children living below their national 'poverty line' - defined as 50 per cent of median disposable household income.
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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 | 0.012 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| 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".