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Record W2605386653 · doi:10.23907/2013.013

National Association of Medical Examiners Position Paper: Medical Examiner, Coroner, and Forensic Pathologist Independence

2013· article· en· W2605386653 on OpenAlexaff
Judy Melinek, Lindsey C. Thomas, William R. Oliver, Gregory A. Schmunk, Victor W. Weedn

Bibliographic record

VenueAcademic Forensic Pathology · 2013
Typearticle
Languageen
FieldMedicine
TopicAutopsy Techniques and Outcomes
Canadian institutionsOffice of the Chief Medical Examiner
Fundersnot available
KeywordsMedical examinerCoronerForensic pathologyLaw enforcementIndependence (probability theory)MedicineEconomic JusticePsychologySuicide preventionPoison controlCriminologyLawMedical emergencyPolitical sciencePathologyAutopsy

Abstract

fetched live from OpenAlex

Objective Forensic pathologists play a vital role in the justice system in matters concerning questions of death. Science as applied in the justice system should be objective and neutral. Since the goals of medical examiners and coroners are to determine the cause and manner of death for certification and public health functions (goals different and distinct from the missions of law enforcement agencies), it is important that medicolegal death investigation be independent. Accurate investigation, examination, reporting, and testimony by forensic pathologists are important to determine the cause and manner of death of individuals who die under sudden, unexpected, or violent circumstances. These cases can become the focus of political or legal pressure by individuals or offices seeking to influence the pathologist's findings. This pressure, even if seemingly unsuccessful in an individual case, can introduce error, bias, and corruption into the medicolegal investigation process. This paper reinforces the principle that medical examiners, coroners and forensic pathologists should be allowed to perform medicolegal investigations free of these influences. Participants The ad hoc Committee on Medical Examiner Independence of the National Association of Medical Examiners (NAME), a self-selected volunteer committee, developed this position paper. The findings are based on surveys of the NAME membership regarding members’ experience with, and reaction to, outside influence. Evidence Surveys of NAME members revealed that medical examiner independence was important to most members. Over 70% of survey respondents had been subjected to pressures to influence their findings, and many had suffered negative consequences for resisting those influences. In a separate study, over 30% of respondents indicated that fear of litigation affected their diagnostic decision-making. In 2009, the National Research Council of the National Academies published recommendations to strengthen the forensic sciences; they specifically recommended that medical examiner and coroner offices should be independent from law enforcement agencies and prosecutors’ offices. Consensus Process This position paper represents the consensus of the ad hoc Committee on Medical Examiner Independence, submitted to the Executive Committee and Board of Directors of NAME, and subject to comment and review by the membership. Conclusions It is the position of NAME that forensic pathologists working in or for medical examiner or coroner offices or as private consultants should be permitted to objectively pursue and report the facts and their opinions of those cases which they are investigating independent of political influences from other agencies within their respective jurisdictions and independent of the threat of litigation.

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)0.055
metaresearch head score (Gemma)0.095
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.055
Threshold uncertainty score0.290

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0550.095
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0070.002
Scholarly communication0.0060.003
Open science0.0030.005
Research integrity0.0170.008
Insufficient payload (model declined to judge)0.0150.009

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 head0.019
GPT teacher head0.309
Teacher spread0.290 · 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
GenreCommentary

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

Citations34
Published2013
Admission routes1
Has abstractyes

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