Integrating knowledge and action: learnings from an implementation program for food security and food sovereignty with First Nations communities within Canada
Bibliographic record
Abstract
BACKGROUND: Collaborative approaches to knowledge translation (KT) are important for advancing community-engaged research. However, there is a need for examples of participatory approaches that have effectively supported public health research, program development, and implementation with First Nations communities. To strengthen KT with communities, we proposed a set of guiding principles for participatory planning and action for local food system change. Principles emerged from a cross-community analysis of Learning Circles: Local Healthy Food to School (LC:LHF2S) a participatory program (2015-2019) for Indigenous food system action. The objective was to identify guiding principles for participatory planning and action from key learnings and successes on scaling-up of the Learning Circles (LC) model vertically in Haida Nation, British Columbia (BC), and horizontally in three distinct community contexts: Gitxsan Nation, Hazelton /Upper Skeena, BC; Ministikwan Lake. The application of these principles is discussed in the context of our ongoing partnership with Williams Treaties First Nations to support community planning to enhance food security and sovereignty. METHODS: A cross-community thematic analysis was conducted and guided by an implementation science framework, Foster-Fishman and Watson's (2012) ABLe Change Framework, to identify key learnings and successes from adapting the LC approach. Information gathered from interviews (n = 55) and meeting reports (n = 37) was thematically analyzed to inform the development of guiding principles. Community sense-making of findings informed applicability in a new community context embarking on food systems work. RESULTS: Emergent guiding principles for participatory food system planning and action are described within four main areas: (1) create safe and ethical spaces for dialog by establishing trust and commitment from the ground up, (2) understand the context for change through community engagement, (3) foster relationships to strengthen and sustain impact, and (4) reflect and embrace program flexibility to integrate learnings. CONCLUSIONS: Emergent principles offer guidance to supporting Indigenous community-led research and mobilization of knowledge into action. Principles are intended to support researchers and health system administrators with taking a collaborative approach that fosters relationships and integration of community leadership, knowledge, and action for food system change. Application of principles with implementation frameworks can strengthen KT in Indigenous contexts by incorporating community protocols and perspectives in support of Indigenous self-determined priorities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.013 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".