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Record W2558570068 · doi:10.5195/jyd.2008.333

The After School Activity Initiative: Youth Helping Youth in a Community in Crisis

2008· article· en· W2558570068 on OpenAlexaff
Brenda Robertson

Bibliographic record

VenueJournal of Youth Development · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsAcadia University
Fundersnot available
KeywordsMeaning (existential)Positive Youth DevelopmentPsychologyPower (physics)Interpersonal communicationOrder (exchange)Public relationsYouth studiesYouth engagementSocial skillsSocial psychologyDevelopmental psychologyPolitical scienceBusinessPsychotherapist

Abstract

fetched live from OpenAlex

Youth experience considerable free time, the use of which can foster active healthy lifestyles or facilitate engagement in activities that are detrimental to self and or to society. In order for the former to occur, specific knowledge, attitudes, and skills must be acquired. This research explores an initiative in which older youth served as leaders in an after school initiative in an economically challenged community where little attention was being paid to the provision of free time opportunities for youth. Not only were positive developmental outcomes experienced by the participants (the ability to find ways to spend free time; an appreciation for the outcomes that can accrue from engagement in positive activities; and the ability to communicate effectively), but the same was true for the older youth who served as leaders (understanding the meaning of success, appreciating the power of interpersonal relationships, and becoming a role model).

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)0.002
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.001
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 head0.085
GPT teacher head0.314
Teacher spread0.229 · 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

Citations1
Published2008
Admission routes1
Has abstractyes

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