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Enregistrement W49900619

Music Therapy Practice with High-Risk Youth: A Clinician Survey/Pratique De la Musicothé Rapie Avec Les Jeunes À Risque: Un Sondage Clinique

2013· article· fr· W49900619 sur OpenAlexaboutno aff
David B. Clark, Edward A. Roth, Brian Wilson, Carolyn Anne Koebel

Notice bibliographique

RevueCanadian journal of music therapy · 2013
Typearticle
Languefr
DomainePsychology
ThématiqueMusic Therapy and Health
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMusic therapyMental healthPsychological interventionPsychologyHumanitiesPsychotherapistPsychiatryArt
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Studies in music therapy and allied professions indicate that music-based interventions by music therapists, social workers, and other health professionals are effectively assisting youth with a diversity of needs (Baker & Jones, 2005; Currie, 2004; Dalton & Krout, 2005; Frank, 2005; Keen, 2004; Tervo, 2001). Music therapy is used in mental health, oncology, substance misuse, and bereavement programs for adolescents (Albornoz, 2011; Faulkner, 2011; McFerran, 2010; McFerran, Roberts, & O'Grady, 2010; McFerran-Skewes, 2004; Roth & Kees, 2007). Research published in Canada and the United States document that at-risk or aggressive youth and youth offenders are also benefiting from music therapy programs (Barrett & Baker, 2012; Buchanan, 2000; Camilleri, 2007; Evans, 2010; Gladfelter, 1992; Rickson & Watkins, 2003; Rio & Tenney, 2002; Snow & D'Amico, 2010; Wyatt, 2002]. Programs designed to meet the needs of youth refugees and youth involved in gangs, as well as those experiencing schizophrenia, trauma, and body image issues, are discussed in the music therapy literature as well (Baker & Jones, 2005; Fouche & Torrence, 2005; Frank, 2005; Ruutel, 2004, Smith, 2012).Authors of several of these studies used the terms at risk or high risk to describe their clientele (Buchanan, 2000; Camilleri, 2007; Nelson, 1997; Smith, 2012; Snow & D'Amico, 2010]. While these terms were used without a standard definition, they generally referred to youth who were served by programs dealing with mental health issues, substance use, and street involvement as well as youth who were in correctional programs (Keating, Tomishina, Foster, & Alessandri, 2002; Springer, Sale, Herman, Soledad, Kasim, & Nistler, 2004; Ungar & Teram, 2000). These issues often overlap, making it difficult and impractical to separate them.Therefore, the term high-risk youth may be used as a general term to describe a cohort of youth that is distinct from the general population and can be differentiated from those whose primary needs are developmental, educational, physical, or medical in nature. In this study high-risk youth were defined as those likely to experience a decline in their global functioning due to one or more issues related to mental health, substance use, or other social, economic, or cultural disadvantages. These included correctional system involvement, street involvement, or an unstable home environment.Music Therapy and High-Risk YouthAn informal review conducted by the authors in 2007 ofthe music therapy and allied health research literature revealed 37 studies reporting the use of music with youth who met this study's definition of high risk. These studies varied in their settings, subpopulations, assessment methods, and therapeutic interventions. The earliest study found was published in 1969, and a cluster of 15 articles and one dissertation were published between 2000 and 2007. The databases searched included RILM Abstracts of Music Literature, PsycINFO, PsycARTICLES, ProQuest Dissertations & Theses, ProQuest Research Library, Wilson Select Plus, CINAHL, Social Sciences Abstracts, and MEDLINE. These sources provided a foundation for understanding the specific populations with which clinicians were working as well as the clinical needs, assessment methods, treatment goals, and interventions they were using.The settings for these studies were primarily hospitals and residential treatment programs, but since 2000 there has been a decrease in studies done in hospitals and an increase in other settings, namely schools (Currie, 2004, Dalton & Krout, 2005; Jones, Baker, & Day, 2004), private practice (Hendricks & Bradley, 2005; Keen, 2004), and community-based programs (Buchanan, 2000; McFerran-Skewes, 2004; Fouche & Torrence, 2005).The specific subpopulations identified in these publications as meeting the criteria for high-risk youth included at-risk youth (Buchanan, 2000; Fouche & Torrence, 2005), offenders (Gardstrom, 1987; Gladfelter, 1992; Nelson, 1997; Rio & Tenney, 2002; Wyatt, 2002), refugees (Baker & Jones, 2005; Jones, Baker, & Day, 2004), youth with poor body image (Ruutel, 2004), youth experiencing bereavement (Dalton & Krout, 2005), youth who had experienced abuse or trauma (Clendenon-Wallen, 1991; Keen, 2004; Slotoroff, 1994), and youth with mental health issues (Frank, 2005; Frisch, 1990; Gardstrom, 2003; Haines, 1989; Hendricks & Bradley, 2005; Tervo, 2001; Zonneveldt, 1969). …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,015
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesIntégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,670
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0150,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,002
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0020,005
Charge utile insuffisante (le modèle a refusé de juger)0,0260,000

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.

Tête enseignante Opus0,062
Tête enseignante GPT0,330
Écart entre enseignants0,269 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2013
Routes d'admission1
Résumé présentoui

Explorer davantage

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