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Record W1945381057 · doi:10.1177/229255030301100203

Part IV: Reformers in medical education and practice: Effect of managed care organization in the United States

2003· article· en· W1945381057 on OpenAlexaffvenue
Martin A. Entin

Bibliographic record

VenueCanadian Journal of Plastic Surgery · 2003
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsRoyal Victoria Hospital
Fundersnot available
KeywordsMedicineManaged careFamily medicineMedical educationHealth careLawPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Part I (Can J Plast Surg 2000;8:25-29) established that standards of professional practice shift constantly. When a standard falls short of professional expectation or when a physician becomes more concerned with financial gain rather than patient care, society needs the action of a reformer. Parts I, II (Can J Plast Surg 2001;9:59-68) and III (Can J Plast Surg 2002;10:103-108) covered 500 BC to 1970 AD and comprised 31 physicians who introduced innovations in medical knowledge or medical philosophy. Part IV deals with a time in which new conditions have been imposed on medical practice. In the United States, medical education and practice felt the repercussions of financial institutions participating in health care management. STUDY DESIGN: The reformers were scientists who conformed to our definition of 'reformer': a person whose action restored, reshaped or advanced the structure or ideology of medical practice. RESULTS: This survey demonstrated that the reforms were accomplished by scientists possessing critical judgement and analytical qualities that enabled them to influence the direction of medical education and practice. In the last 20 years, financial institutions imposed different criteria that may require future reformers to reestablish lost objectives. CONCLUSION: Reforms have been achieved through intuitive leaps, alterations of conventional practice, painstaking research or administrative restructuring. The present health management in the United States requires new solutions.

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)0.005
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.098

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.022
GPT teacher head0.258
Teacher spread0.236 · 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 designObservational
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

Citations0
Published2003
Admission routes2
Has abstractyes

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