Acknowledging bereavement, strengthening communities: Introducing an online compassionate community initiative for the recognition of pandemic grief
Bibliographic record
Abstract
Despite public health measures and collective efforts, millions of individuals have unfortunately died from COVID-19 complications worldwide, leaving several million family members at risk of developing bereavement complications. In the Canadian province of Quebec, where substantial deaths were associated with COVID-19, we established an online support community for bereaved caregivers who lost a loved one during the pandemic. We explain how we created a community that recognized pandemic grief and advocated for its wider acknowledgment. We discuss "compassionate communities," the theoretical underpinning of our initiative, as a means to foster solidarity, normalize finitude, create and maintain a safe social space through group sharing, and challenging capitalist principles. We then describe the eight areas of activities inspired by the Charter of Pallium Canada: education and training, hospices and nursing homes, media and social media, commemoration, celebrations, artistic practices and storytelling, marginalized populations, and review and evaluate. We propose that online communities constitute a powerful space for community members to gather and advocate for greater awareness of the inequities found in end-of-life care and bereavement services, to denounce abusive situations experienced by many individuals who died from COVID-19 complications, and to fight against the lack of recognition experienced by numerous caregivers.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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".