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Record W2096234686 · doi:10.1111/1467-8624.t01-1-00510

Neighborhood Income and Physical and Social Disorder in Canada: Associations with Young Children's Competencies

2002· article· en· W2096234686 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueChild Development · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicUrban, Neighborhood, and Segregation Studies
Canadian institutionsUniversity of British ColumbiaStatistics Canada
FundersCanadian Institute for Advanced Research
KeywordsSocioeconomic statusPsychologyFamily incomeObservational studyCensusDevelopmental psychologyAssociation (psychology)DemographyGerontologyPopulationMedicineSociology

Abstract

fetched live from OpenAlex

This study examined the association of census level, observational, and parent-reported neighborhood characteristics on the verbal and behavioral competencies of a national sample of Canadian preschoolers (N = 3,350). Children's verbal ability scores were positively associated with residing in neighborhoods with affluent residents and negatively associated with residing in neighborhoods with poor residents and in neighborhoods with low cohesion, even after controlling for family socioeconomic factors. Behavior problem scores were higher when children lived in neighborhoods that had fewer affluent residents, high unemployment rates, and neighborhoods with low cohesion, after controlling for family socioeconomic factors. These findings are discussed in light of neighborhood studies of children in the United States in the mid-1990s.

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.

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)0.000
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 score0.704
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.012
GPT teacher head0.211
Teacher spread0.199 · 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