Grief on the margins: The death of a family member to substance use
Bibliographic record
Abstract
Despite Canada's high death rates from substance use, there is limited research on the sociopsychological impact on families, who often face stigma and disenfranchised grief. This study explores how family members make meaning of a substance-related death. Through qualitative inquiry, eleven family members were interviewed on their experience of grief from substance death. The imprint of losing a family member to mental illness and substance use is fraught with intergenerational grief, ambiguity, prolonged mental-emotional distress, and relationship challenges. Substance death was also associated with stigma, social withdrawal, and shame for many participants. However, grievers reconstructed the socially prescribed negative perceptions and treatment of families impacted by substance death through education, supportive community, art, and resistance. Spirituality and relationships with non-human kin also emerged as healing in grief. Through these common avenues, participants restory their narratives and embody the wise helpers they would have benefited from in vulnerable moments of grief. This study supports the need for substance death grief literacy and highlights the implications for social work practice.
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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.016 | 0.011 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".