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Engagement of ‘At-Risk’ Youth Through Meaningful Leisure

2017· article· en· W2596517008 on OpenAlexaff
Tristan Hopper, Yoshitaka Iwasaki

Bibliographic record

VenueJournal of Park and Recreation Administration · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPositive Youth DevelopmentRecreationYouth studiesPsychologySocial exclusionEmpowermentSocial psychologyMental healthSociologyPublic relationsDevelopmental psychologyPolitical science

Abstract

fetched live from OpenAlex

Many young people today experience marginalization and exclusion.In particular, youth living with challenging conditions such as poverty, homelessness, abusive/addictive behaviors, and mental health issues, often have limited access to opportunities and resources.This paper focuses on the role of leisure as a meaningful way of youth engagement.Specifically, the paper explores how youth-led leisure opportunities can help young people caught in the dynamics of exclusion and marginalization, which often magnify inequities and hinder positive developmental outcomes.Through both a critical review of the literature and a reflection on the gaps identified within the examined literature, a conceptual model of mechanisms involving leisure and youth engagement is presented for potential use in future research and practice.Described as circular relationships in the model, youth-led meaningful engagement through leisure is proposed to promote positive relationship-building, co-learning, power-sharing, and empowerment.In turn, positive interpersonal relationships are proposed to support meaningful leisure within a safe, open, and non-judgmental space to co-learn.Furthermore, meaningful leisure is proposed to provide an avenue to reinforce positive relationships and learn/discover about self, others, and the world.Importantly, what youth do with leisure, rather than what leisure does to youth, should be emphasized to promote constructive youth-led engagement through meaningful leisure.The former concept (i.e., what youth do with leisure) is more youth-driven than the latter concept (i.e., what leisure does to youth), which is more prescriptive in nature.Overall, this paper suggests that simply because we develop leisure programs for “at-risk/high-risk” young people, the use of a top-down, prescriptive approach can be detrimental to them.Rather than adults always leading engagement activities, it would be more desirable to share with and be guided by youth concerning the leadership and mentoring of engagement activities including both leisure and non-leisure pursuits in youth’s lives.Because of leisure’s unique characteristic of being intrinsically chosen and defined, leisure is a very important tool in a bottom-up, youth-led/guided approach to meaningful engagement of “at-risk/high-risk” youth.Through sharing experiences with youth and learning alongside of them, leisure can provide an avenue for youth to connect positively with their peers and communities, and to promote constructive meaning-making in their lives.These insights have important implications for reframing leisure programs within social services, and improving leisure policy and practice to make these more youth-oriented.Through enacting these youth-oriented changes, programs can better support and inspire youth’s passions for the pursuit of meaningful, fulfilling lives. Subscribe to JPRA

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)0.003
metaresearch head score (Gemma)0.004
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0030.004
Scholarly communication0.0040.003
Open science0.0010.009
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.078
GPT teacher head0.365
Teacher spread0.287 · 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

Citations41
Published2017
Admission routes1
Has abstractyes

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