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Record W3121880471

Inequality during the Early Years: Child Outcomes and Readiness to Learn in Australia, Canada, United Kingdom, and United States

2011· preprint· en· W3121880471 on OpenAlexfundaboutno aff
Bruce Bradbury, Miles Corak, Jane Waldfogel, Elizabeth Washbrook

Bibliographic record

VenueEconstor (Econstor) · 2011
Typepreprint
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsnot available
FundersDepartment of Families, Housing, Community Services and Indigenous AffairsUniversity of OttawaSage Foundation
KeywordsDisadvantagedInequalityEarly childhoodCognitionCognitive developmentCognitive skillChild developmentPsychologyDemographyGeographyDevelopmental psychologyEconomic growthSociologyEconomics
DOInot available

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.040
GPT teacher head0.296
Teacher spread0.256 · 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 teacher head, not a consensus.

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

Citations2
Published2011
Admission routes2
Has abstractyes

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