Community Engagement from Theory to Practice: Co-design and Implementation of Inclusive Language Principles in a Community-based Organization Serving People with Disabilities
Notice bibliographique
Résumé
Introduction: March of Dimes Canada (MODC) is one of the largest non-profit organizations in Canada that provides programs and support services to people with disabilities. MODC is in the process of transforming all its programming and services using co-design to better meet the needs of people with disabilities. The Empowering Client Voices (ECV) initiative was designed to create a co-designed community engagement framework to center the voices and ideas of people with disabilities in how the organization engages with its community and provides services. This project looks to fill a gap in knowledge of how community-based organizations can move from theory to praxis when using co-design and community engagement. Methods: The initiative is a three-phase process: (1) internal review of current organization engagement practices; (2) external environmental scan and a rapid review; and (3) two advisory committees to develop the principles for greater community engagement. The purpose of the co-designed community engagement framework is to create actionable principles based on the guidance of our advisory committees and other research tools. Phases 1 and 2 will create foundational themes to be discussed with our advisory committee made of people with disabilities. These themes will help provide initial guideposts for discussions about what community engagement should be within MODC. Language will be the first theme to be explored with the advisory committee to create recommendations and guidelines for better communication and inclusive language across the organization. Results: The inclusive language recommendations and guidelines developed by the ECV Advisory Committee will initiate the development of an inclusive language toolkit by the research team. The inclusive language toolkit will be shared throughout the organization as a template to follow when discussing disability and people with disabilities using language that represents our community in their own words. Before the start of the ECV Initiative, inclusive language guidelines did not exist within the organization requiring the development and implementation of a change-management process at the Micro (MODC staff members) and Meso (Organization) to ensure the guidelines will be adopted across a national community-based organization. Discussion and Conclusion: This poster presentation will outline the development of the co-designed inclusive language toolkit and change management process for our organization to adopt standardized inclusive language through all forms of community engagement and communication in collaboration with people with disabilities in our communities of operation. International audiences can use our project as a case study of how co-design can inform and drive organizational change. This case study will highlight the implementation factors that were found to be advantageous in a community-based organization, factors that hindered organizational change, and mitigation techniques used to make lasting change across the organization. Lessons and Future Research: Future research for the ECV Initiative will continue to implement the additional themes within the ECV community engagement framework with the intention of making the additional toolkits based on co-designed themes and change management knowledge products publicly available to help other community-based organizations improve their own community-engagement practices.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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 tête enseignante, 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 ».