Engagement of ‘At-Risk’ Youth Through Meaningful Leisure
Notice bibliographique
Résumé
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
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Prédiction machine sur la base complète
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Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,003 | 0,004 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,001 | 0,009 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».