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Record W2474089948 · doi:10.1080/19371918.2015.1137521

Negotiation, Mediation and Communication between Cultures: End-of-Life Care for South Asian Immigrants in Canada from the Perspective of Family Caregivers

2016· article· en· W2474089948 on OpenAlexaffabout
Swarna Weerasinghe, Victor Maddalena

Bibliographic record

VenueSocial Work in Public Health · 2016
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsMemorial University of NewfoundlandDalhousie University
Fundersnot available
KeywordsNegotiationEnd-of-life careImmigrationPerspective (graphical)Qualitative researchFamily caregiversNova scotiaNursingMediationMedicinePsychologyPalliative careGerontologySociologyPolitical scienceEthnologyAnthropology

Abstract

fetched live from OpenAlex

In the present study, we explored family caregivers' experiences in providing end-of-life care for terminally ill South Asian immigrants. We employed qualitative methods and. in-depth interviews were conducted with seven family caregivers living in Nova Scotia, Canada. Interview data were validated, coded and organized for themes. Three major themes identified in the data illustrated (a) how South Asian caregivers experienced clashes between biomedical and ethno-cultural realms of care that led to cultural insensitivity, (b) how family members acted as mediators, and (c) how communication issues that challenged cultural sensitivity were handled. Findings provide directions for culturally sensitive end-of-life care planning.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.670

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.094
GPT teacher head0.384
Teacher spread0.290 · 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 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

Citations20
Published2016
Admission routes2
Has abstractyes

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