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Record W2975358028 · doi:10.1007/s40037-019-00537-4

Spinning the lens on physician power: narratives of humanism and healing

2019· article· en· W2975358028 on OpenAlexaff
Mercedes Chan, Laura Nimmon

Bibliographic record

VenuePerspectives on Medical Education · 2019
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsCentre for Advancing Health OutcomesBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsHumanismPower (physics)NarrativeConversationHealth carePublic relationsEmpathyAlternative medicineSociologyPsychologyMedicineMedical educationAestheticsSocial psychologyLawPolitical scienceLiterature

Abstract

fetched live from OpenAlex

Divisive, disabling and dangerous power has featured heavily in health professions literature, social media and medical education. Negative accounts of the wielding of power have discoloured the lens through which the public sees medicine and distorted the view of a profession long associated with healing, humanism and heart. What has been buried in the midst of this discourse are positive accounts of power where the yielding of power is encouraging, empathetic and empowering. This article offers three personal vignettes illustrating the ability of power to positively affect lives in the practice of medicine, for patients and doctors alike. More of these stories are needed to uplift and rebalance the conversation on physician power and how it can be used for good. It is necessary to provide a narrative framework of what it looks like to be a healer and a humanistic doctor to satisfy the general public through a commitment to cultivate multidimensional future healthcare providers.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score0.453

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 head0.014
GPT teacher head0.339
Teacher spread0.325 · 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 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

Citations3
Published2019
Admission routes1
Has abstractyes

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