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Record W1506993499

Measuring Child Poverty: New league tables of child poverty in the world's rich countries

2012· preprint· en· W1506993499 on OpenAlexaboutno aff
Peter Adamson

Bibliographic record

VenueRePEc: Research Papers in Economics · 2012
Typepreprint
Languageen
FieldSocial Sciences
TopicIncome, Poverty, and Inequality
Canadian institutionsnot available
Fundersnot available
KeywordsPovertyLeagueChild povertyMeasuring povertyStandard of livingLeague tableEuropean unionGeographyIndex (typography)EconomicsDevelopment economicsDemographic economicsSocioeconomicsEconomic growthInternational trade
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.048
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0130.018
Science and technology studies0.0010.000
Scholarly communication0.0040.003
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0250.006

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.

Opus teacher head0.063
GPT teacher head0.334
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations57
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueRePEc: Research Papers in EconomicsSame topicIncome, Poverty, and InequalityFrench-language works237,207