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A healing curriculum

2007· article· en· W1963807460 on OpenAlexaff
J. Donald Boudreau, E J Cassell, Abraham Fuks

Bibliographic record

VenueMedical Education · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicMental Health and Psychiatry
Canadian institutionsMcGill University
FundersErasmus Universiteit Rotterdam
KeywordsCurriculumMedical educationMEDLINEPsychologyMedicinePedagogyPolitical science

Abstract

fetched live from OpenAlex

CONTEXT: The banner of patient-centredness flies over many academic institutions; however, the practice and teaching of medicine remain oriented to disease. This incongruence is the result of an original Flexnerian dichotomy between the basic and clinical sciences and is maintained by a more recent distinction between disease and illness. One mind-set emphasises basic science and pathology pedagogically, whilst clinical medicine becomes a search for disease. The second introduces the patient as the focal point, underlining the personal and social contexts of illness. RESPONSE AT A CONCEPTUAL LEVEL: We must orient ourselves to a single central theme, namely, the well-being of the individual patient. Doing so does not deny the importance of the scientific understanding of biological function. Indeed, recent advances in genetics may permit a richer view of the individual as a unique product of genetic, developmental and experiential forces. The foregoing provide a coherent framework for a scientifically guided and humanistic medicine, which replaces the false dichotomies that have plagued medical school curricula with a congruent and stereoscopic view of medical education. RESPONSE AT A CURRICULAR LEVEL: We describe an undergraduate programme, entitled 'Physicianship', based on the fundamental premise that healing is the doctor's primary obligation. Explicit training in a specific clinical method, whose cardinal features include observation, attentive listening and clinical reasoning, emphasises the knowledge and skills necessary to effect this theoretical framework. The understanding of illnesses emphasises loss of homeostasis, whereas the physical examination highlights impairments of function. The educational experience is enriched with numerous opportunities for self-reflection.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.105
Threshold uncertainty score0.352

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0060.005
Open science0.0020.010
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.1050.024

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 head0.016
GPT teacher head0.338
Teacher spread0.322 · 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 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

Citations80
Published2007
Admission routes1
Has abstractyes

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