Leveraging value-based pathways for Indigenous food security through participatory scenario planning: A case study from St. Paul Island, Alaska, USA
Why this work is in the frame
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Bibliographic record
Abstract
Arctic Indigenous food systems face significant pressure, necessitating transformative changes to ensure food security. Given that Arctic Indigenous communities’ food security is disproportionally being affected by global change, it is important that they develop action plans focused on local agency to meet the challenges they face and leverage food system futures that align with local values. We employ a co-produced participatory scenario planning (PSP) approach that combines PSP with positive scenarios from seeds, leverage points (LP), and intergenerational dialogue to challenge traditional future prospects that tend to be pessimistic and support food security for the Aleut Community of St. Paul Island (ACSPI). Through focus groups, a PSP workshop, and a pathways workshop, this study (i) mobilizes intergenerational community values, develops (ii) four positive future scenarios grounded in these values, and (iii) five pathways to achieve a shared vision of the future food system, and (iv) identifies effective LP for real-world change. The community's shared vision represents a diverse, sovereign local food system rooted in Unangax̂ values. Pathways toward this vision include interventions for local capacity building, economic diversification, local agency, subsistence lifestyles, and community cohesion and health. The paper highlights the transformative potential of co-produced PSP in supporting Arctic Indigenous communities in envisioning and achieving sustainable futures. • Co-produced community vision and pathways for Indigenous local food system identified. • Indigenous food sovereignty and cultural revitalization central to food system vision. • Strategic pathways foster capacity, diversity, agency, subsistence, cohesion. • Community interventions link shallow and deep system levels for transformative change. • Recognizing cross-level interactions of interventions is key to leveraging change.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.008 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it