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Record W7026681241

‘Architects’ mistakes should be covered\nwith ivy and doctors’ with sod’: Medical\nMalpractice, Morton Shulman, and the\n‘Conspiracy of Silence’

2021· article· en· W7026681241 on OpenAlexaboutno aff

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsSilenceCoronerCredenceReputationState (computer science)Face (sociological concept)Accountability
DOInot available

Abstract

fetched live from OpenAlex

Every year thousands of Canadians are killed or injured because of medical mistakes. Plaintiffs, however, face several challenges to suing doctors successfully for malpractice. One challenge is the reluctance of some doctors to criticize other medical professionals, sometimes referred to as the "conspiracy of silence." This article focuses on the attention given to the conspiracy of silence in Ontario in the 1960s when Dr. Morton Shulman, the pugnacious and flamboyant Chief Coroner of Toronto, alleged that doctors routinely covered up medical errors. Shulman drew media attention to irresponsible doctors, poor practice, and negligent treatment. He demanded more accountability and better care, and deplored efforts to silence him to protect the reputation of doctors. A decline in public trust of experts and of the professions created conditions that lent credence to Shulman's claims. However, many medical professionals chafed at the questioning of their professionalism, expertise, and ethics. The provincial government's responses, which included coroner system reforms, expanding the powers of the Ontario College of Physicians and Surgeons, and attempting to silence Shulman, primarily aimed to meet the concerns of the state and medical professionals, rather than those of patients and the public. Résumé: Chaque année, des milliers de Canadiens perdent la vie ou sont blessés à cause d'erreurs médicales. Les plaignants doivent cependant surmonter plusieurs difficultés s'ils veulent poursuivre avec succès des médecins pour faute professionnelle. L'une de ces difficultés est la réticence de certains médecins à critiquer d'autres professionnels de la santé, réticence qu'on appelle parfois « conspiration du silence ». Le présent article porte sur l'attention portée à la conspiration du silence en Ontario dans les années 1960, au moment où le Dr Morton Shulman, le pugnace et coloré coroner en chef de Toronto, a affirmé que les médecins camouflaient régulièrement des erreurs médicales. Shulman a attiré l'attention des médias sur les médecins irresponsables, les mauvaises pratiques et la négligence dans les traitements. Il a exigé une reddition de comptes accrue et une amélioration des soins, et déploré les efforts déployés pour le réduire au silence afin de protéger la réputation des médecins. Le déclin de la confiance envers les experts et les professions libérales a mené le public à donner du crédit aux affirmations du Dr Shulman. De nombreux professionnels de la santé ont cependant été irrités par la remise en question de leur professionnalisme, de leur savoir-faire et de leur éthique. Les réactions du gouvernement provincial–réformes du système des coroners, extension des pouvoirs de l'Ordre des médecins et chirurgiens de l'Ontario et tentative de musèlement du Dr Shulman–visaient principalement à répondre aux préoccupations de l'État et des professionnels de la santé plutôt qu'à celles des patients et du public.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.281
Threshold uncertainty score0.565

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0170.007
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.0130.004

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 head0.023
GPT teacher head0.241
Teacher spread0.217 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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