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Record W4401687671 · doi:10.7202/1112294ar

Culturally Informed Care: Solidarity, Cultural Humility, and Medical Ethics

2024· article· en· W4401687671 on OpenAlexvenueno aff
Hailey G. Hawkins, Nico Nortjé, Amitabha Palmer

Bibliographic record

VenueCanadian Journal of Bioethics · 2024
Typearticle
Languageen
FieldHealth Professions
TopicEthics in medical practice
Canadian institutionsnot available
Fundersnot available
KeywordsCultural humilityHumilitySolidarityMedical ethicsEnvironmental ethicsCultural diversityMEDLINEEngineering ethicsSociologyPsychologyCultural competencePolitical scienceLawAnthropologyPhilosophy

Abstract

fetched live from OpenAlex

This case study explores the ethical complexities surrounding the treatment of Mrs. H, an elderly woman with multiple myeloma. Divergent goals between her family, rooted in cultural and religious values, and the medical team prompted ethical deliberation. The divergent goals centered around the family’s desire for aggressive cancer treatment, driven by their Ubuntu and Christian beliefs in the sanctity of life and hope for divine intervention, contrasted with the medical team’s focus on palliative care, prioritizing comfort over aggressive medical interventions with unlikely benefits. Faced with this tension, the care team, guided by principles of solidarity and cultural humility, engaged in meaningful dialogue facilitated by an experienced ethicist. The resolution respects the family’s cultural and religious beliefs while adhering to medical ethics. This case highlights the importance of understanding and integrating cultural values in healthcare decision-making, ultimately achieving a patient-centered approach that respects the diversity of perspectives.

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)0.016
metaresearch head score (Gemma)0.121
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesScience and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.883
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.121
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0030.039
Insufficient payload (model declined to judge)0.0010.000

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 head0.184
GPT teacher head0.534
Teacher spread0.349 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2024
Admission routes1
Has abstractyes

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