The homeless grief - The loss of non-kin family: Middle-aged immigrant experience of disenfranchised grief over a friend’s death in Western society
Bibliographic record
Abstract
This article emerged from the intersection of deep personal loss—the death of my friend, Anette, whom I considered family—and the struggle to articulate my grief. By weaving autoethnographic elements of personal stories and reflections about Anette and my other friends with broader sociocultural contexts, this paper invites readers into the world of middle-aged immigrants, where loss and friendships intertwine in ways that are often hard to put into words. It sheds light on the significance of friendships and the marginalization of grief experienced by newcomers facing a friend’s death in Western societies. The exploration integrates insights from the frameworks and concepts of acculturative stress of immigration, friendship, and disenfranchised grief. This convergence underscores the failure to recognize such losses as akin to familial bereavement and highlights the unique context of disenfranchised grief among immigrants. Considering the unstudied junction between the global phenomenon of relocation, the universally recognized ties of friendship, and the shared experience of death and grief, its importance and relevance are indisputable. This article offers a novel perspective and aims to enhance academic and societal awareness of this distinctive convergence of human experiences. It addresses a gap in the scholarly conversation and emphasizes the necessity of including immigrant realities and voices in developing intervention strategies and policies in local and international social, health, immigration, and other arenas.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.014 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 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".