Going Off, Growing Strong: A program to enhance individual youth and community resilience in the face of change in Nain, Nunatsiavut
Bibliographic record
Abstract
Dispossession from social and ecological support systems is a major concern for many Indigenous communities. In response to community health challenges in these settings a number of initiatives such as youth mentorship programs have shown some value in enhancing adaptive capacity. The pilot Going Off, Growing Strong program provides opportunities for at-risk youth to engage in community- and land-based activities and build relationships with positive adult role models in Nain, Nunatsiavut (Labrador, Canada). This paper offers an interpretive description drawing from autobiographical accounts of the development of this innovative program. A collaboratively developed conceptual framework, based on the literature, is used to present and explain program operator’s experiences and rationale for program development. The emergent goals of Going Off, Growing Strong are to strengthen individual youth and collective community resilience through intergenerational exchange of land, social, and cultural skills and knowledge by drawing on social supports, such as a community freezer and experienced harvesters. We found that the process of collaborating over time with multiple stakeholders in creating this conceptual framework was an important one for solidifying the goals of Going Off, Growing Strong and creating context-specific, meaningful evaluation outcomes to enable future measurement of impacts on the community.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| 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 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".