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Record W1572058887 · doi:10.5750/ejpch.v2i1.690

Logos, ethos and pathos in balance - the care of the patient and the soul of the clinic: person-centered medicine as an emergent model of modern clinical practice.

2014· article· en· W1572058887 on OpenAlexaff
Jonathan Fuller, Ross Upshur

Bibliographic record

VenueEuropean Journal for Person Centered Healthcare · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreUniversity of Toronto
Fundersnot available
KeywordsJudgementEthosPsychologyEpistemologyMedicineLawPhilosophyPolitical science

Abstract

fetched live from OpenAlex

In a recent discussion paper, Miles and Mezzich described person-centered medicine (PCM) as a model of modern medical practice that has emerged from the intellectual currents of the past century. In this commentary, we consider what PCM has to offer as a model for the clinical encounter and for clinical judgement. The doctor-patient relationship is an important thread in a person-centered medicine that visualizes the clinical encounter as a dialogue between 2 persons. Person-centered clinical judgement is concerned with the individual clinical case and as such is integrative, context-sensitive, interpretive and circumstantial. A care model incorporating these elements of dialogue and individualized judgement is ideal for older patients, for whom population-level guidelines are often inapplicable, who are often dependent on other persons and who are heterogeneous in their needs. As such a model, PCM is the dialectic synthesis arising out of decades of conflict between patient-centered medicine, and its antithesis, evidence-based medicine. If PCM is to progress from a prescriptive model to a descriptive model of modern medicine, its proponents must claim its philosophical commitments, keeping in mind that a model is fundamentally instrumental and not necessarily always literal. Medicine should look to a care model that is person-centered in the ways described here and that keeps the rational, virtuous and humane elements of practice in balance.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.024
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.125

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0090.096
Scholarly communication0.0160.018
Open science0.0030.011
Research integrity0.0120.021
Insufficient payload (model declined to judge)0.0020.001

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 head0.205
GPT teacher head0.381
Teacher spread0.176 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2014
Admission routes1
Has abstractyes

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