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Enregistrement W2544173705 · doi:10.1037/cap0000073

Resilience of children with refugee statuses: A research review.

2016· article· en· W2544173705 sur OpenAlexaboutno aff
Kerrie Pieloch, Mary Beth McCullough, Amy K. Marks

Notice bibliographique

RevueCanadian Psychology/Psychologie canadienne · 2016
Typearticle
Langueen
DomainePsychology
ThématiqueMigration, Health and Trauma
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRefugeePsychologyResilience (materials science)Developmental psychologyCoping (psychology)Social psychologyCriminologyClinical psychologyPolitical science

Résumé

récupéré en direct d'OpenAlex

Countries around the world, including Canada, are becoming more culturally, ethnically, and linguistically diverse because of the reception of children and families through involuntary migration. Refugees are defined by the U.N. High Commissioner for Refugees (UNHCR) as children and adults who have migrated to other countries due to fear of persecution in their country because of factors such as race, religion, nationality, or political opinion (Fantino & Colak, 2001). As of 2014, 51% of the 19.5 million registered refugees across the globe were children and youth, the highest figure in more than a decade (UNHCR, 2014). Every day, nearly 5,000 children become refugees, with a vast number growing up and spending their entire lives in refugee camps (UNHCR, 2014). Approximately 34,000 children are unaccompanied at the point of arrival or separated from family after arriving in a new country (UNHCR, 2014), which is notable given that unaccompanied minors often experience greater time in refugee camps awaiting decisions about placement and are at greater risk for mental health concerns (Fazel, Reed, Panter-Brick, & Stein, 2012; Wilkinson, 2002). Therefore, it is critical to identify factors that promote resilience at each stage of the migration process for refugee youth.Refugee Children in CanadaCanada has demonstrated a well-established effort toward resettling families and children as well as a public interest in providing support through active volunteer groups at the individual, community, and agency level (Government of Canada, 2016). Refugees from nearly every country have migrated to Canada over the years, including countries from Europe, Asia, Africa, the Middle East, Central and South America, and more recently Iraq and Syria. According to UNHCR (2014) over the last 10 years, approximately 26,000 refugees arrived in Canada each year, with 42% of this number successfully claiming refugee status, of which 36% are children. The countries where families are migrating from at any given time reflect the current world crises. For example, because of the current humanitarian crisis in Syria, Canada has welcomed more than 29,000 refugees from Syria from November 2015 to July 2016 (Government of Canada, 2016) and is planning on receiving thousands more. This sizable increase in the number of refugees entering Canada may yield economic concerns as the refugee population continues to increase and requires more resources. Given that the European Union (EU) has started to set restrictions on the number of refugees who can enter from Syria, Canada's role in receiving Syrian refugees as well as understanding how to promote their resilience is critical. The unique resilience factors that accompany Syrian children and families, such as peer support and a sense of community, may be protective against the development of psychosocial concerns throughout the migration process (Daud, af Klinteberg, & Rydelius, 2008).Current ReviewBecause of the substantial growth in refugee children that are entering Canada and other countries around the world, there is global interest in identifying factors that are associated with risk and positive adaptation of children. Refugee children can experience numerous stressors and traumatic events because of their migration, resettlement, and acculturation experiences. These stressors can fall broadly within three periods: premigration (e.g., trauma experienced while in their country of origin), migration (e.g., hostility encountered while travelling through supposedly safe countries before reaching their host country), and postmigration periods (e.g., separation from family after migration; Pacione, Measham, & Rousseau, 2013). Although the literature on refugee youth is filled with examples of risk for many types of mental health and educational challenges associated with each period of migration (Fazel et al., 2012), researchers are increasingly holding the viewpoint that it is important to view refugee children's experiences through a lens of recovery and resilience (Masten, 2012) because focusing on risk alone paints an incomplete picture of refugee youth's lives. …

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,012
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,018
Score d'incertitude au seuil0,035

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,012
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0060,007
Études des sciences et des technologies0,0010,001
Communication savante0,0030,003
Science ouverte0,0010,002
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0060,001

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.

Tête enseignante Opus0,081
Tête enseignante GPT0,411
Écart entre enseignants0,330 · 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; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeRevue systématique
Domainenon disponible
GenreSynthèse

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

En bref

Citations224
Publié2016
Routes d'admission1
Résumé présentoui

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