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Record W2272575090 · doi:10.1037/dev0000038

The great recession and behavior problems in 9-year old children.

2015· article· en· W2272575090 on OpenAlexaff
William Schneider, Jane Waldfogel, Jeanne Brooks‐Gunn

Bibliographic record

VenueDevelopmental Psychology · 2015
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsColumbia College
FundersEunice Kennedy Shriver National Institute of Child Health and Human Development
KeywordsPsychologyNational Longitudinal SurveysRecessionFragile Families and Child Wellbeing StudyEthnic groupAnxietyUnemploymentMonitoring the FutureDemographyDevelopmental psychologyConsumer confidence indexAggressionDemographic economicsEconomicsSubstance abusePsychiatry

Abstract

fetched live from OpenAlex

This article examines associations between the Great Recession and 4 aspects of 9-year olds' behavior-aggression (externalizing), anxiety/depression (internalizing), alcohol and drug use, and vandalism-using the Fragile Families and Child Wellbeing Study, a longitudinal birth cohort drawn from 20 U.S. cities (21%, White, 50% Black, 26% Hispanic, and 3% other race/ethnicity). The study was in the field for the 9-year follow-up right before and during the Great Recession (2007-2010; N = 3,311). Interview dates (month) were linked to the national Consumer Sentiment Index (CSI), calculated from a national probability sample drawn monthly to assess consumer confidence and uncertainty about the economy, as well as to data on local unemployment rates. Controlling for city-fixed effects and extensive controls (including prior child behavior at age 5), we find that greater uncertainty as measured by the CSI was associated with higher rates of all 4 behavior problems for boys (in both maternal and child reports). Such associations were not found for girls (all gender differences were significant). Links between the CSI and boys' behavior problems were concentrated in single-parent families and were partially explained by parenting behaviors. Local unemployment rates, in contrast, had fewer associations with children's behavior, suggesting that in the Great Recession, what was most meaningful for child behavior problems was the uncertainty about the national economy, rather than local labor markets.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.319

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.090
GPT teacher head0.441
Teacher spread0.351 · 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.

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

Citations46
Published2015
Admission routes1
Has abstractyes

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