Exploring Community Mobilization in Northern Quebec: Motivators, Challenges, and Resilience in Action
Bibliographic record
Abstract
Nunavimmiut (people of the land) are the Indigenous peoples of the northern peninsula of the province of Quebec. Communities of Nunavik and its regional organizations have been making concerted efforts in implementing community-based strategies to support family wellbeing. These community strategies are grounded in many of the values underpinning community psychology: favoring empowerment-oriented approaches, fostering community capacity, and transforming organizational cultures to allow for new modes of interaction, as well as new policies and practices that are grounded in community and culture. Despite the growing support and expectation for community mobilization, there is still very little research on the processes and challenges to such mobilization. In this study, we explored the unique challenges and facilitators to community endeavors in northern Quebec in order to better understand the complex dynamics and the strengths that Inuit build upon. We first used a focused ethnographic approach in the context of a 5-year community mobilization project in Nunavik. We then conducted 12 individual interviews and two small group interviews with Inuit working on community-based wellbeing-oriented mobilization projects in four additional communities. Results expose how sociogeographical realities and colonialism influence the process of community mobilization. They also highlight the values and motivational factors that lead community members to move beyond these influences.
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 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".