Transmedia Storytelling Responses by Canadian Male Teachers in an Era of Truth and Reconciliation: A Narrative Analysis
Notice bibliographique
Résumé
Among the 2015 Truth and Reconciliation Commission of Canada’s 94 Calls to Action, are four that focus specifically on Education for reconciliation, and one in particular, 62ii, reads, “Provide the necessary funding to post-secondary institutions to educate teachers on how to integrate Indigenous knowledge and teaching methods into classrooms”. As a humble attempt at a creative and meaningful response to these recommendations and challenges, my transmedia storytelling study invited four willing and interested non-Indigenous Canadian male teachers to read and reflect on a curated list of Indigenous authors and scholars, to create their own chosen and unique transmedia storytelling response to the experience, such as a painting, a series of photographs, a sculpture, or an essay, and then to share their experience by participating in a Story Circle. The Story Circle method (Parks, 2023), also known as a talking circle or sharing circle (Rieth, 2023), allows participants to come together to share stories about a particular topic, event, or experience. Throughout the study, I leaned heavily on Jenkins’ (2006) definition of transmedia storytelling, “A transmedia story unfolds across multiple media platforms, with each new text making a distinctive and valuable contribution to the whole…”, but I also wanted to expand the definition for use in educational settings, and in this case, to introduce creative possibilities for teachers seeking to integrate Indigenous ways of knowing into their curricula. My goal in this study was to challenge my participants to “begin to deconstruct their colonial perspective” by inquiring narratively through transmedia storytelling. For my methodology, I chose narrative analysis (Polkinghorne, 1995), a sub-category of narrative inquiry (Clandinin, 2006), because I also wanted to investigate my own “lived experience” as a non-Indigenous Canadian male teacher attempting to integrate Indigenous knowledge into my instructional planning and teaching best practices. The one recurring question that continued to surface throughout the study, and that emerged again towards the end was, “What contribution or contributions will this research make in the slow journey towards truth and reconciliation?” Here are 4 hopes that I have: (1) Hope One. That Transmedia storytelling research approaches offer creative and impactful opportunities for post-secondary instructors to authentically and meaningfully integrate Indigenous authors and scholars, and in some cases where applicable and appropriate, Indigenous artists and musicians into their curriculum, whether the curriculum is arts-focused or not. (2) Hope Two. That Transmedia storytelling research approaches allow students to explore and creatively respond to stories and learnings about residential school survivors, Canada’s residential school system, and First Nations, Metis, and Inuit language and culture, alongside broader and deeper topics around truth and reconciliation. (3) Hope Three. That Transmedia storytelling research approaches be offered not just to post-secondary instructors and students, but also to students, staff, administrators, parent groups, and school boards in a Kindergarten to Grade 12 public education setting. (4) Hope Four. That Transmedia storytelling research approaches also be considered as a creative strategy beyond topics of truth and reconciliation to further support academic, social, and psychological learning alongside more traditional teaching and learning approaches in both public and post-secondary settings.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,014 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,006 | 0,007 |
| Études des sciences et des technologies | 0,044 | 0,021 |
| Communication savante | 0,013 | 0,005 |
| Science ouverte | 0,003 | 0,007 |
| Intégrité de la recherche | 0,003 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».