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Enregistrement W2735947388

Mentor-Apprentice Programs: Effects on Mentors & Apprentices’ wellbeing

2017· article· en· W2735947388 sur OpenAlexaboutno aff
Barbara Jenni, Adar Anisman, Peter Jacobs

Notice bibliographique

RevueThe COCOON platform (University of Paris) · 2017
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueIndigenous Health, Education, and Rights
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésApprenticeshipIndigenousThematic analysisIndigenous languagePsychologyExploratory researchPedagogySociologyQualitative researchGeographySocial science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Increasingly, adult Indigenous language learners are being identified as the “missing generation” of learners who hold great potential to contribute to the revival of Indigenous languages by acting as the middle ground between Elders, children and youth within their communities. Our research project NEȾOLṈEW̱ ‘one mind, one people’ investigated adult Indigenous language learning through the popular Mentor-Apprentice Program (MAP) method (Leanne Hinton, 2001). Over the course of 14 months, our team conducted 133 interviews with four groups of participants involved in MAP. The participants were current and past apprentices, mentors, and administrators of MAP programs in British Columbia, Canada. Our primary interest was to learn about the successes and challenges of MAP for language learning, but we also included interview questions that gave participants space to share how participating in MAP may have affected them. During thematic analysis of the interviews (Braun & Clarke, 2006, 2014) we noticed repeating comments across all four participant groups on how their involvement with MAP impacted their own and their community’s wellbeing. Six exploratory themes were identified: • Language loss negatively impacts the wellbeing of Indigenous people: “[the word] doesn’t just mean a bad, misbehaving child, it also means a poor child that has been uprooted […] and is disconnected from their culture” • The relationship between burden and wellbeing among participants in MAP: “there’s so much to be done. […] that’s the exhausting part of it. It’s trying to learn and teach at the same time” • Strengthening MAP apprentices to become future community leaders: “it brings a huge sense of pride […] and helps me be an inspiration to anyone else” • Elder’s healing through becoming language mentors: “we once again have that believe in ourselves where we can feel free” • Cultural and spiritual health and healing: “I am keeping something very precious alive by speaking my language” • Health outcomes: “it was […] the language that... pushed me to sobriety, […] it gave me... a sense of who I was”. Although studies have reported protective effects of Indigenous language use on health (Ball & Moselle, 2013; Hallett, Chandler, & Lalonde, 2007; McIvor, 2013), health-related outcomes of language revitalization efforts, including MAP, remain underexplored (Whalen, Moss, & Baldwin, 2016). In addition to discussing the six exploratory themes from our study, our paper also proposes that these themes can inform future research in the area of language revitalization and wellbeing. References Ball, J., & Moselle, K. (2013). Contributions of culture and language in aboriginal head start in urban and northern communities to children’s health outcomes: A review of theory and research. Prepared for Division of Children, Seniors & Healthy Development, Health Promotion and Chronic Disease Prevention Branch. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3, 77–101. http://doi.org/10.1191/1478088706qp063oa Braun, V., & Clarke, V. (2014). What can “thematic analysis” offer health and wellbeing researchers? International Journal of Qualitative Studies on Health and Well-Being, 9, 26152. http://doi.org/10.3402/qhw.v9.26152 Hallett, D., Chandler, M. J., & Lalonde, C. E. (2007). Aboriginal language knowledge and youth suicide. Cognitive Development, 22(3), 392–399. http://doi.org/10.1016/j.cogdev.2007.02.001 Hinton, L. (2001). The master-apprentice language learning program. In L. Hinton & K. Hale (Eds.), The green book of language revitalization in practice (pp. 217–226). San Diego, CA: Academic Press. McIvor, O. (2013). Protective effects of language learning, use and culture on the health and well-being of Indigenous people in Canada. In Proceedings of the 17th FEL Conference, FEL XVII: Endangered Languages Beyond Boundaries: Community Connections, Collaborative Approaches and Cross-Disciplinary Research (pp. 123–131). Foundation for Endangered Languages in association with the University of Carleton. Whalen, D. H., Moss, M., & Baldwin, D. (2016). Healing through language: Positive physical health effects of indigenous language use. F1000Research, 5(852). http://doi.org/10.12688/f1000research.8656.1

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)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
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 enseignants0,929
Score d'incertitude au seuil0,986

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0150,001
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,021
Tête enseignante GPT0,274
Écart entre enseignants0,252 · 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 tête enseignante, pas un consensus.

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

Citations0
Publié2017
Routes d'admission1
Résumé présentoui

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