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Enregistrement W2048484735 · doi:10.1353/lm.2011.0327

Positive Wrongdoings: Reading Doctors' Narratives on Ordinary Ethics

2011· article· en· W2048484735 sur OpenAlexaboutno aff
Einat Avrahami

Notice bibliographique

RevueLiterature and medicine · 2011
Typearticle
Langueen
DomaineMedicine
ThématiqueEmpathy and Medical Education
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBeneficenceMedical ethicsMoralityNarrativeNursing ethicsAutonomySociologyPsychologyLawPolitical sciencePhilosophy

Résumé

récupéré en direct d'OpenAlex

Positive Wrongdoings: Reading Doctors' Narratives on Ordinary Ethics Einat Avrahami (bio) The ethics of everyday life, the morality of the ordinary, is the ‘place’ in which medical ethics is enacted [. . .] The case studies filling ethics textbooks do not typically address the moral dynamics of the everyday care of patients. Extraordinary decisions are not routine. An ethics of the ordinary is also required.1 Doctors’ narratives about their experiences of “the morality of the ordinary” hit on major questions that have troubled ethicists in contemporary philosophy and ethical literary criticism in the last two decades and that deeply concern medical educators and practicing physicians in their endeavor to foster medical professionalism in the day-by-day care of patients. How can one accommodate moral ideals, understood here as the duties of medical professionalism, with the emotional messiness of ordinary living and the harried everyday reality of medical practitioners? Who has moral authority in the clinical setting? Indeed, what do we mean when we talk about caregivers’ moral authority and responsibilities? How can doctors best balance the principles of beneficence and patient autonomy in their relationships with patients? And what images of the “good doctor” does medical education conjure and hope to instill in the minds and hearts of young students and residents? In their narrated accounts of ethical engagements, the doctors whose autobiographical stories I shall analyze in this essay place their moral choices in concrete, dense contexts that invoke what Martha Nussbaum calls “the indeterminacy, the sheer difficulty of actual human deliberation.”2 Because their narratives are more complex and more closely resemble the lived experience of practicing physicians than the usually terse “cases” in bioethics textbooks, those narrative [End Page 325] can function as valuable contributors and mediators of shared moral language and practice toward the development of ordinary medical ethics. As Cheryl Mattingly recognized, caregivers’ narratives are more than a mode of structuring raw clinical experience “after-the-fact”: they are bound with experience “in a homologous relationship.”3 Further than that, these narratives not only depict instances of daily moral engagement but also embody a handier and more natural way to reflect upon and understand moral issues than the top-down models of formal deliberation promoted by the prevailing theoretical discourse of bioethical principles. Indeed, if these “ethics narratives” provide a process of clarification of and partial answers to the weighty questions mentioned above, they do so by inviting their audience to think with their stories rather than simply to think about them.4 The narratives I offer below, and my approach to reading them, are the product of years of engagement in narrative theory, research, and the pedagogy of narrative medicine.5 For the last seven years, I have enjoyed the great privilege of facilitating weekly, semester-long narrative medicine workshops and teaching courses in literature and medicine to different groups of healthcare professionals and learners, including family physicians and residents, nurses, medical students, and medical clowns, in various academic institutions in Israel. Like other literary critics who work with caregivers today in Europe, Canada, and the United States, I have benefited from stimulating interaction with the founders of the narrative medicine movement at Columbia University. Most pertinent to my teaching experience and to this discussion is Rita Charon’s model of attention-representation-affiliation, as discussed in chapter seven of her book, Narrative Medicine: Honoring the Stories of Illness.6 The model frames every course and individual conference workshop on narrative medicine that I facilitate and serves as a conceptual and pragmatic point of reference that anchors ongoing class exercises in close reading, narrative writing, and learning to respond to participants’ written accounts. While the readings and topics assigned to the classes do change, and the variety of participants and physicians who co-facilitate the workshops undoubtedly shapes the dynamics of and meanings that emerge in each class, we consistently try to fully attend to the demands of the narrative voices and forms by representing experience in writing and by accommodating our resources of autobiographical memory and other categories of emotional and professional affiliation. Charon’s model is sturdy and sufficiently inclusive to support narrative therapy ideas such as the externalization of dominant [End Page...

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,627
Score d'incertitude au seuil0,487

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,040
Tête enseignante GPT0,343
Écart entre enseignants0,303 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2011
Routes d'admission1
Résumé présentoui

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