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Record W2120430757 · doi:10.1017/s1478951503030189

“Because you know there's an end to it”: Caring for a relative or friend with advanced breast cancer

2003· article· en· W2120430757 on OpenAlexaff
Christina Sinding

Bibliographic record

VenuePalliative & Supportive Care · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsCancer Care Ontario
Fundersnot available
KeywordsClosenessEnd-of-life carePerspective (graphical)Value (mathematics)Qualitative researchSocial psychologyPsychologyGrounded theoryPerceptionNegotiationBreast cancerPalliative careMedicineSociologyNursingCancerSocial science

Abstract

fetched live from OpenAlex

OBJECTIVE: The aim of this paper is to delineate the particular nature of the end-of-life care experience from the perspective of family members and friends. Ideas drawn from feminist analyses of caring and the sociology of death and dying are used to illuminate study respondents' accounts. METHODS: Qualitative study with people who cared for a family member or friend who died of breast cancer. Two interviews were conducted with each of 12 study participants, and one carer responded by letter to a series of questions drawn from the interview guide. Accounts were analyzed with reference to grounded theory methods. RESULTS: The analysis presented here suggests that anticipating the death of an ill relative or friend generates imperatives to care, imperatives that are both "felt" and linked to wider social structures and processes. The value assigned to closeness with the ill person can be seen to reflect cultural injunctions toward a "good death," and to shape informal carers' perceptions of their labor. Also discussed in this paper are the complex negotiations undertaken by relatives and friends, for the life and death of someone with advanced cancer. SIGNIFICANCE OF RESULTS: This paper offers insight into the social processes of caregiving, revealing how care may be shaped in particular ways by an awareness of approaching death.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.197
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.039
GPT teacher head0.359
Teacher spread0.320 · 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 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

Citations30
Published2003
Admission routes1
Has abstractyes

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