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Record W2137034697 · doi:10.1037/0022-3514.94.6.1048

The association of neighborhood poverty with personality change in childhood.

2008· article· en· W2137034697 on OpenAlexaff
Daniel Hart, Robert Atkins, M. Kyle Matsuba

Bibliographic record

VenueJournal of Personality and Social Psychology · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Substance Use and School Attendance
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsPsychologyPersonalityPovertyAssociation (psychology)DisadvantageDevelopmental psychologySocioeconomic statusCognitionSocial psychologyDemographyPsychiatry

Abstract

fetched live from OpenAlex

The child sample of the National Longitudinal Survey of Youth (n.d.) was analyzed to examine the relation of undesirable personality change in early childhood to neighborhood economic deprivation. Participants in the survey who had complete data at Time 1 (3-4 years of age) and Time 2 (5-6 years of age) and who remained in the same neighborhood during both time periods were included in the analyses. The results indicated that neighborhood economic disadvantage was associated with undesirable personality change even after controlling for family-level variables such as maternal education, family income, and cognitive and emotional support in the home environment for children. The association of personality change with neighborhood economic deprivation was not mediated by maternal depression, Head Start participation, cognitive and emotional support in the home, or maternal trust in the neighborhood. The authors discuss recommendations for future investigations.

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)0.001
metaresearch head score (Gemma)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.051
GPT teacher head0.340
Teacher spread0.288 · 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

Citations110
Published2008
Admission routes1
Has abstractyes

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