Project George: An Indigenous Land-Based Approach to Resilience for Youth
Bibliographic record
Abstract
The research shared in this article seeks an understanding of Indigenous resilience within the context of a culturally responsive land-based initiative, Project George, led by the Moose Cree First Nation, also known as the Omushkego people. The initiative centres core Cree values, community engagement, and land-based skills to ensure the well-being of youth. Their Homeland is located in the waterways and on the western shores of the Hudson and James Bay Lowlands in Ontario, Canada. The methodology involved researcher participation and engagement as part of a 4-month field presence; informal conversations and visiting; as well as formal semistructured interviews with community members over 4 years from 2012 to 2015. The research explores the benefits and challenges of a land-based program by highlighting the experiences and voices of community and program participants who directly engaged with Project George. The findings show that land-based learning initiatives inspired and driven by Indigenous people foster a regenerative approach to wellness based on relation to land, culture, and identity. A return to land-based learning responds to the ongoing colonial complexities affecting the health and wellness of Indigenous youth in Canada and draws strength from the people’s resilient practices.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.010 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.017 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".