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Enregistrement W4417443173 · doi:10.18357/kula.329

Search for Wellness Through Ancestral Languages 

2025· article· en· W4417443173 sur OpenAlexaffvenueabout
Velvalee Georges, Davina Rousell, Sherryl Sewepagaham, J. J. Bull, Elmer Ghostkeeper, Doreen Frencheater, Molly Chisaakay, Mary Cardinal-Collins, E.J. Wood, L. Berland, Carla Chisaakay, Sharlene Alook, Tabilaah

Notice bibliographique

RevueKULA knowledge creation dissemination and preservation studies · 2025
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueIndigenous Health, Education, and Rights
Établissements canadiensUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésIndigenousHonourStorytellingTraditional knowledgeColonialismIndigenous languageNegotiationIndigenous education

Résumé

récupéré en direct d'OpenAlex

This video combines visual storytelling and orature to present the findings of a study examining the relationship between speaking Ancestral Languages and individual and communal well-being. The study was conducted by a team of four Indigenous researchers and one non-Indigenous research associate (Dr. Davina Rousell, Crystal Wood, Dr. Velvalee Georges, Sherryl Sewepagaham, and Joline Bull) from the Supporting Indigenous Languages Research (SILR) project housed in the University of Alberta Office of the Vice-Provost, Indigenous Programming and Research. We sought to learn about the ways in which knowing and speaking one's Ancestral Language(s) fosters well-being in mind, body, spirit, and emotions. The project began in 2022 with a systematic literature review. However, it became clear that the answers we were seeking did not reside in the literature, most of which reflected Western knowledge and ways of knowing, but with the Ancestral Language Speakers who were the keepers of this knowledge. We also realized that this work required a relational approach grounded in Indigenous Knowledge Systems and methodologies, and the members of SILR’s Indigenous Advisory Council, Elder Dr. Elmer Ghostkeeper, Language Keeper Doreen Frencheater, Elder Molly Chisaakay, and Elder Mary Cardinal-Collins, gifted the research team with the principles and tools for a relational approach to this research. To begin, they advised us to undertake a searching journey in which we considered how best to move away from the colonial connotations of "research.” They urged us to honour relationality and ensure that we were building relationships with participants based on accountability, respect, and reciprocity, and they directed us to honour orature and visual representation. Finally, they highlighted the importance of Indigenous data sovereignty, of making sure that the participants in the study retained control of the knowledge they shared in perpetuity. Of particular importance was their directive, at the beginning of our searching journey, not to use Roman orthography or written text. Reflecting upon this guidance, we decided to use visuals throughout our process to document and understand what was shared during each visiting with an Ancestral Language Keeper. For the same reason, we did not create a transcript of the research findings video we later created. This practice provided a more authentic way of documenting the findings, one in which the voices of the research participants were preserved. The team secured ethics approval from the University of Alberta’s research ethics board and conducted a “human literature review” through a series of visits with twenty-three Ancestral Language Keepers speaking Nehiyawewin, Michif, Dene Tha’, and Anishinaabe. The participants included the members of our advisory team, Elder Dr. Elmer Ghostkeeper, Language Keeper Doreen Daychief Frencheater, Elder Molly Chisaakay, and Elder Mary Cardinal-Collins, who guided us on who else we should sit down with for a visiting. Other participants included Elder Earl Wood, Lawrence Berland, Carla Chisaakay, Sharlene Alook, and Tabilaah. The video does not include fourteen participants that preferred not to be included in the video or for their names not to be shared. These visits were all recorded in the spring and summer of 2023. After viewing the raw data recordings, the research participants engaged in talking circles, during which the research team produced hand-drawn visuals representing the core themes and teachings shared in the visits. Indigenous graphic recorder Michelle Buchholz created a pictograph based on these visuals that synthesizes the study’s research findings, which was reviewed by each Ancestral Language Speaker and Knowledge Holder before being used as the basis for this research findings video. The final version of the research findings video (which includes footage from only the nine named participants listed above in accordance with the wishes of the participants) went through the same review process and was approved by research participants in May 2024. Rather than the external anonymous peer review process that scholarship usually undergoes in a conventional Western research model, we determined that this was the appropriate mode of review because the participants are the knowledge holders to whom we are accountable and who can assess if we accurately and responsibly represented the knowledge shared. In certain knowledge systems, there are protocols around sharing knowledge, and in this case thedirected us on what parts of our research were appropriate to share publicly. The visual presentation of the findings as a pictograph and video intentionally moves the findings away from traditional academic presentations of research findings and instead invites each viewer on a journey of searching and reflection that is neither determinative nor prescriptive. This is important because this research findings video showcases how understanding the relationship between Ancestral Languages and well-being is a lifelong process and journey that does not have a particular answer, path, or destination. Our hope is that the pictograph and video are shared widely among Indigenous communities and invite Indigenous youth, adults, and Elders on a journey of connecting with and learning their Ancestral Language(s). The research participants have asked that access to this research findings video be restricted to Ancestral language instructors, Indigenous organizations, schools with Indigenous students, and Ancestral language learners. We ask that those who are watching and engaging with the knowledge shared in the research findings video and pictograph honour the request of the participants, and that they do not download, screen record, screenshot, share on social media, or otherwise share or repurpose this video. The findings video may be used for research, teaching, workshops, and events that support Indigenous language revitalization and preservation (by, for example, schools, Indigenous organizations, communities, and families).

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)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,016
Score d'incertitude au seuil0,042

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0060,004
Communication savante0,0030,004
Science ouverte0,0010,003
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0120,001

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 Opus0,063
Tête enseignante GPT0,475
Écart entre enseignants0,412 · 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'étudeQualitatif
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
Publié2025
Routes d'admission3
Résumé présentoui

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