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Record W2586441227 · doi:10.1093/jmp/jhw039

What Does the Patient Say? Levinas and Medical Ethics

2016· article· en· W2586441227 on OpenAlex
Lawrence R. Burns

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

VenueThe Journal of Medicine and Philosophy A Forum for Bioethics and Philosophy of Medicine · 2016
Typearticle
Languageen
FieldMedicine
TopicPatient Dignity and Privacy
Canadian institutionsWestern University
Fundersnot available
KeywordsNursing ethicsObligationFace (sociological concept)AnalogyMedical ethicsContext (archaeology)NarrativeSituational ethicsMilitary medical ethicsSubject (documents)Applied ethicsEpistemologyPsychologySociologyNursingMedicinePhilosophyLawPolitical scienceSocial science

Abstract

fetched live from OpenAlex

The patient-physician relationship is of primary importance for medical ethics, but it also teaches broader lessons about ethics generally. This is particularly true for the philosopher Emmanuel Levinas whose ethics is grounded in the other who "faces" the subject and whose suffering provokes responsibility. Given the pragmatic, situational character of Levinasian ethics, the "face of the other" may be elucidated by an analogy with the "face of the patient." To do so, I draw on examples from Martin Winckler's fictional physician narratives. In addition, I explore how the standpoint of the physician conceals a related but often unacknowledged dimension of care: the obligation to nurse. For both nurse and physician, one question encapsulates Levinas' medical ethics: "What does the patient say?" Using this as my guiding question, I examine the context within which physician, nurse, and patient meet in order to highlight their shared vulnerability and the care relationship that binds them together.

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)0.007
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.865
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.011
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.137
GPT teacher head0.370
Teacher spread0.233 · 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