Decolonizing Pathways to Sustainability: Lessons Learned from Three Inuit Communities in NunatuKavut, Canada
Bibliographic record
Abstract
Community led planning is necessary for Inuit to self-determine on their lands and to ensure the preservation of cultural landscapes and the sustainability of social-ecological systems that they are a part of. The sustainability efforts of three Inuit communities in Labrador during a Community Governance and Sustainability Initiative were guided by a decolonized and strength-based planning framework, including the values of Inuit in this study. This paper demonstrates that Inuit led planning efforts can strengthen community sustainability planning interests and potential. We situate the experiences of NunatuKavut Inuit within, and contribute to, the existing body of scholarly decolonization and sustainability literature. For many Indigenous people, including Inuit, decolonization is connected to inherent rights to self-determination. The findings suggest that decolonizing efforts must be understood and actualized within an Indigenous led research and sustainability planning paradigm that facilitates autonomous decision making and that is place based. Further, this study illustrates five predominant results regarding Inuit in planning for community sustainability that support sustainable self-determination. These include: inter and cross community sharing; identification of community strengths; strengthened community capacity; re-connection to community and culture; and the possibility for identification of sustainability goals to begin implementation through community led governance and planning processes.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.039 | 0.012 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".