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Record W4413103481 · doi:10.55016/ojs/tsw.v3i1.80673

The homeless grief - The loss of non-kin family: Middle-aged immigrant experience of disenfranchised grief over a friend’s death in Western society

2025· article· en· W4413103481 on OpenAlexaff
Sabina Mezhibovsky

Bibliographic record

VenueTransformative Social Work · 2025
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsGriefFriendshipDisenfranchised griefContext (archaeology)SociologyImmigrationPsychologySocial psychologyPolitical sciencePsychotherapistHistoryLaw

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.830
Threshold uncertainty score0.633

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.319
Teacher spread0.298 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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