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Record W2165736561 · doi:10.1177/1049732308320110

End-of-Life Care and the Grieving Process: Family Caregivers Who Have Experienced the Loss of a Terminal-Phase Cancer Patient

2008· article· en· W2165736561 on OpenAlex
Isabelle Dumont, Serge Dumont, Suzanne Mongeau

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

VenueQualitative Health Research · 2008
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversité du Québec à MontréalUniversité Laval
Fundersnot available
KeywordsContext (archaeology)Family caregiversGriefQualitative researchPsychologyTerminal cancerFamily memberCancerSocial supportNursingMedicinePalliative carePsychotherapistFamily medicine

Abstract

fetched live from OpenAlex

Family caregivers of a loved one with advanced cancer are at risk for developing bereavement complications following the loss of the person they cared for. However, little research has studied caregiving and bereavement experiences as an ongoing process. This study was conducted with the aim of identifying the main elements constitutive of the experience of providing care and assistance to a patient with terminal cancer that influence the grieving process. This qualitative study, conducted among 18 family caregivers, led to the specification of six principal dimensions of the caregiving experience: characteristics of the family caregiver and of the patient, symptoms of the illness, the relational context, social and professional support, and circumstances surrounding the death. Among these dimensions, the constituent elements of the caregiving experience that might positively or negatively influence the grieving process were identified. This knowledge is useful for a more perspicuous identification of caregivers who might experience bereavement complications.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.004
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 head0.457
GPT teacher head0.616
Teacher spread0.160 · 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