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Record W4381943648 · doi:10.21037/apm-23-24

Bereavement care reimagined

2023· article· en· W4381943648 on OpenAlexaboutno aff
Julian Abel, Allan Kellehear, Samar Aoun

Bibliographic record

VenueAnnals of Palliative Medicine · 2023
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsGriefMedicineNursingContext (archaeology)Social supportPopulationPsychotherapistPsychologyPsychiatry

Abstract

fetched live from OpenAlex

Bereavement, a specific kind of grief in response to a death, has been embedded in human history, in cultural patterns, with ritual, ceremony, and community kindness being the mainstay of grief support. The advent of professionalised grief counselling has seen the increasing domination of professional support as the best way to support someone bereaved, with a consequent loss of the varied forms of community support. The availability of professional grief counselling is limited, with only a small percentage of bereaved people accessing it or needing to access it. In this article, we argue for a realignment of professional grief services, strengthening community actions, and reorientation of health care in keeping with the Ottawa Charter for Health Promotion. Community sources of grief support are being reinvented in multiple ways. Professional services can develop links and relationships with these communities of support. A population-based public health approach to bereavement care is needed. This can only be achieved through communities and professionals working together. This partnership working underlines three implications for practice. These are (I) love and friendship must be the bedrock of support for grief and loss and the strengthening of these supports should be the priority for all therapeutic and social actions, (II) the multiple and varied community and civic sector sources of grief support should be the mainstay of the bereaved, and (III) bereavement professionals should work in the context of community, linking their clients with sustainable community supports.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.689
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.174
GPT teacher head0.473
Teacher spread0.299 · 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.

Study designObservational
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

Citations12
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueAnnals of Palliative MedicineSame topicGrief, Bereavement, and Mental HealthFrench-language works237,207