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Record W3033808099 · doi:10.1080/00981389.2020.1769247

The potential impact of bereavement grief on workers, work, careers, and the workplace

2020· article· en· W3033808099 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSocial Work in Health Care · 2020
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGriefDisadvantagedWork (physics)Social workPsychologyAccommodationDisenfranchised griefQualitative researchNursingPsychotherapistMedicineSociologyPolitical science

Abstract

fetched live from OpenAlex

Bereavement grief is typically very painful and often highly consequential. People who are working could be significantly impacted by the death of someone they care about. A qualitative study sought an understanding of the lived experience of bereavement on the mourner's ability to work and their work-related experiences following the death of a loved one. Three themes emerged: (a) grief is universal but individually impactful, (b) accommodation is needed to assist the return to work and to regain work abilities, and (c) there are many impediments to working again. These themes highlight the potential for bereavement grief to substantially effect mourners and thus their work, careers, and the workplace. Older workers could be particularly disadvantaged because of workplace ageism. Societal and other changes appear to be needed for the health and wellbeing of mourning workers, and to address related work and bereavement issues. Bereavement grief is highly relevant to the social work profession, given its involvement in providing information, developing supportive services, and making referrals.

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.483
Threshold uncertainty score0.712

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.347
Teacher spread0.325 · 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