MétaCan
Menu
Back to cohort
Record W2557473954 · doi:10.5195/jyd.2008.319

Engaging Street Youth in an Evaluation of a Community-Based Arts Program

2008· article· en· W2557473954 on OpenAlexaffabout
Robin Wright, Lindsay John, Julia Sheel, David Spinner

Bibliographic record

VenueJournal of Youth Development · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsMcGill UniversityUniversity of Windsor
Fundersnot available
KeywordsProsocial behaviorLonelinessThe artsPsychologyPositive Youth DevelopmentOutcome (game theory)Life skillsMedical educationApplied psychologyPublic relationsPedagogySocial psychologyPolitical scienceDevelopmental psychologyMedicineVisual artsArt

Abstract

fetched live from OpenAlex

Data from the Edmonton Arts & Youth Feasibility Study (EAYFS) was used to ascertain the feasibility of engaging street youth in a structured community-based arts program and an outcome-based evaluation. The study engaged 23 street youth in a ten-week multi-media arts program focused on developing prosocial communication, team-building, and problem-solving skills. Results have shown that street youth are highly interested in artistic endeavors; will participate to the best of their circumstances; and will provide reliable data. The youth and staff reported improved art skills, problem-solving capacity, and prosocial communication as well as a decrease in drug use, depression, loneliness, and a greater sense of enjoyment about life. Strengths of the program included the arts media, the non-judgmental environment, and the support from staff. The study suggests that community-based arts programs for street youth could be subjected to a rigorous outcome-based evaluation.

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)0.010
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.354
GPT teacher head0.366
Teacher spread0.011 · 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 designQualitative
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

Citations1
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Youth DevelopmentSame topicArt Therapy and Mental HealthFrench-language works237,207