Calls to Action: Climate Change and Indigenous Food Sovereignty in Arctic
Bibliographic record
Abstract
This study is responding reconciling Indigenous climate change and food sovereignty in Arctic. We will explore, how recent climate change (and interpretation) is challenging to Indigenous food sovereignty sources; and what is at stake in processes such as hunting consultation, impact assessment, regulatory hearings, approvals (including negotiation of benefits), monitoring? and what reformed processes can build Indigenous community capacity and supports robust decisions? The outcomes will assist policy makers and communities to guide future consultations and impacts assessment guideline and climate change planning initiatives. We (as an interdisciplinary research team of Indigenous Elders, knowledge-keepers, Indigenous and non-Indigenous scholars) will focus on Indigenous understanding of Indigenous philosophies of climate change and the connectivity between climate change and food sovereignty and sustainability related to the interactions and inter-dependencies with health security, Indigenous environmental and cultural value protection. Indigenous knowledge-ways have much to offer in support of resiliency of climate change and water infrastructure in Indigenous communities, intercultural reconceptualization of research methodologies, environmental sustainability, and educational programs which support Indigenous communities. Action Plan: Objective: Supporting Indigenous perspectives on climate change impact management and food sovereignty. This includes involving members of Indigenous community to offer insight into Indigenous cultural and community responsibilities of Indigenous climate change impacts management to inform food sovereignty performance review policy development. Contribution: The designing, coordinating, and hosting an interdisciplinary Focused Dialogue Session on the relationship between climate change impacts management and food sovereignty. This Dialogue Session creates new scholarly knowledge about pipeline leak impacts and food sovereignty processes. Objective: Developing effective and trustful engagement dialogs to build capacity among Indigenous Elders, Knowledge-keepers, and scholars. Contribution: This objective supports Indigenous perspectives through specific, policy-orientated research that positively impacts their vision and allow them to develop new ways of climate change impacts and food sovereignty. This reveals climate change impacts management and food sovereignty policy and practices in Arctic. Objective: Mobilize knowledge and partnership for reconciliation (specifically translate research results into evidence for policy-making) through developing an impact assessment policy guideline. Contribution: The impact assessment policy guideline shares knowledge and implications of climate change impacts management policy documents local, provincially, and nationally and assist in the articulation and practice of food sovereignty source protection, as culturally and community informed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.007 |
| 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 | 0.015 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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 source (direct Gemma or distilled Codex), 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".