No time to grieve: Inuit loss experiences and grief practices in Nunavik, Quebec
Bibliographic record
Abstract
This article presents an overview of past and current grief rituals and practices and existing grassroots and institutional initiatives seeking to address the complex, prolonged, and traumatic grief experienced by many Inuit living in Quebec. While conducting a study seeking to identify the strengths, resources, and challenges for Nunavik's Inuit communities related to end-of-life care, results emerged concerning how family caregivers' grief related to the dying process was compounded by the sequelae of historic loss experiences (e.g., losses related to Canada's federal policies, including residential schools, forced relocations, and dog slaughters) and by present loss experiences (e.g., tragic and sudden deaths in local communities). To better support caregivers, an understanding of these grief experiences and a vision of bereavement care inclusive of community mobilization efforts to develop bereavement training and support is needed. We conclude with a discussion of a community capacity approach to bereavement care.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".