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Enregistrement W60493162

Counselling Muslims: A Culture-Infused Antidiscriminatory Approach Musulmans en counseling : une approche anti- discriminatoire tenant compte des références culturelles

2014· article· fr· W60493162 sur OpenAlexvenueaboutno aff
Mahdi Qasqas, Paul Jerry

Notice bibliographique

RevueCanadian Journal of Counselling and Psychotherapy · 2014
Typearticle
Languefr
DomaineSocial Sciences
ThématiqueTerrorism, Counterterrorism, and Political Violence
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésArsonIslamAsidePopulationCriminologyPolitical scienceFace (sociological concept)PsychologySociologyGeographyDemographySocial science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

According to a worldwide study by the Pew Research Center (2009), there are approximately 1.57 billion Muslims in the world, totalling approximately 23% of the world population. In particular, there are about 940,000 Muslims living in Canada, making up approximately 2.8% of the population (Pew Research Center, 2011). Based on Statistics Canada (2003a) estimates, the population increased from 253,300 in 1991 to 579,600 in 2001. Furthermore, according to the Pew Research Center's (2011) research on the global mapping of Muslims, there is an expectation that the number of Muslims will nearly triple within 20 years. Despite these numbers and despite the backlash against Muslims after the attacks on September 11, 2001, there still exists a dearth of research on the intracultural differences and worldview of Muslims, and only a few studies are available on Canadian-Muslims.The impact of the 9/11 attacks has had numerous destructive and even deadly impacts on identifiable Muslims all over the world, triggering a need for counsellors and psychologists to actively engage with Muslims. In 2002, the Council on American-Islamic Relations documented 1,500 reported incidents of attack and against American Muslims (Kwan, 2008). According to Kwan, These incidents include 12 killings, firebomb and arson attacks on properties (mosques or businesses) and homes, physical assaults with fists, knives or guns, a hate rape, and work place discrimination (p. 656). With respect to younger populations, aside from the well-known issues that adolescents generally face such as personal identities and relationships, young Muslims have also had to deal with the negative biases and stereotypes against Islam and Muslims (Sirin & Fine, 2007).It was clear that more Muslims were in need of counselling after the attacks. According to one study, some Muslims in the USA who experienced did receive counselling, but not through professional counsellors. Islamic clergy (imams) usually play the role of counsellor in most communities around the world. Ali, Milstein, and Marzuk (2005) conducted a quantitative study highlighting the role Islamic clergy play in meeting the therapeutic needs of their communities. In this study, although only 62 out of the 730 self-report questionnaires that were sent to mosques all across the United States were returned, the imams who responded reported that they had not received formal counselling training. Furthermore, the imams stated that the need to counsel members of their congregation for being discriminated against had greatly increased since 9/11. Those who were discriminated against were mainly Muslims who were Arab American, South-Asian American, and African American.In the context, despite the possibility that Canadian-Muslims may require more support from the professional community of counsellors and psychologists, there is a lack of academic resources to inform culturally competent practice with Muslims. According to Sheu and Sedlacek (2009), culturally competent practice should develop through a foundation of empirically based research that explores culture beyond race and ethnicity, gives a high importance to intracultural differences, and avoids ambiguity in establishing a research plan. Practitioners who know very little about their clients will thus be faced with difficulty, as little research on this group exists.By way of example, the PsycINFO database, a resource commonly accessed by psychologists and counsellors, included 2,488 journal titles in April 2010, including the Journal of Counselling and the Journal of Mental Health. However, a search for the term Canadian Muslim in those journals retrieved only 18 articles. Muslims constitute one fifth of the world's population and continue to grow (Pew Research Center, 2009), yet research on Muslims makes up only a fraction of one percent in the PsycINFO database. …

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)0,030
score de la tête « metaresearch » (Gemma)0,025
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,030
Score d'incertitude au seuil0,160

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0300,025
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0130,019
Communication savante0,0100,009
Science ouverte0,0050,016
Intégrité de la recherche0,0080,016
Charge utile insuffisante (le modèle a refusé de juger)0,0070,002

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 Opus0,020
Tête enseignante GPT0,277
Écart entre enseignants0,256 · 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'étudeSans objet
Domainenon disponible
GenreAutre

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
Publié2014
Routes d'admission2
Résumé présentoui

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