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Record W4408681432 · doi:10.70256/593337vmspuz

Effects of an After-School Arts Program on Youths in Low-Income Communities

2009· article· en· W4408681432 on OpenAlexaboutno aff
Lindsay John, Robin Wright, William S. Rowe, Eric Duku

Bibliographic record

VenueBest practices in mental health · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsnot available
Fundersnot available
KeywordsLow incomeThe artsPsychologySociologyDemographic economicsMathematics educationSocioeconomicsEconomicsVisual artsArt

Abstract

fetched live from OpenAlex

This study reports on the effects of a longitudinal structured arts program on Cana-dian and American youths ages nine to fifteen years, from low-income multicultural communities. The feasibility and transportability of a program that was extensively evaluated on a Canadian youth population were evaluated with a similar cohort of American youths. The American cohort was matched to the Canadian cohort on relevant baseline covariates through the use of estimated linear propensity scores. The effects of the programs on the two matched cohorts were assessed through the use of multilevel growth curve analyses. The results showed that propensity matching was successful in controlling for possible confounders and obtaining a matched sample balanced across covariates for the two samples. Estimated program effects showed similarities on the growth trajectories of the two cohorts on conduct problems, emotional problems, indirect aggression, self-esteem, and pro-social behavior. The overall conclusion is that the arts program based on a specific model was similarly beneficial to youths from both countries.

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)0.002
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 score0.454
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.049
GPT teacher head0.436
Teacher spread0.387 · 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

Citations4
Published2009
Admission routes1
Has abstractyes

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