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Record W100955382 · doi:10.1136/bmj.39360.415833.be

Dead

2007· letter· en· W100955382 on OpenAlexaboutno aff
John H. Noble

Bibliographic record

VenueBMJ · 2007
Typeletter
Languageen
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceWorld Wide WebData science

Abstract

fetched live from OpenAlex

Servicing the overarching interests of the drug and medical device industry, the United States has apparently successfully intervened in the past (and still tries) with provisions that weaken the protection of human subjects, taking the document farther and farther from the principles and intent of the Nuremberg Code. The World Medical Association, it appears, has been party to medical malpractice in its most wanton manifestation. Fortunately, unlike the Nuremberg Code, most courts of law do not rely on the Declaration of Helsinki for guidance. The answer to Goodyear et al's question—“Declaring Helsinki—alive or dead?”—seems to be that the Declaration of Helsinki is dead on the basis of no brain waves, no heart beat, and a rapidly bloating, blow fly infested, stinking cadaver.1 Cynically, one must ask “what is the purpose of current efforts to “harmonise” the ethics and legalities of clinical trials in countries with no device regulatory system?” How can one “harmonise” the practice of numerous unethical experiments conducted by researchers with no “internalised ethical values?” How can one “harmonise” wholesale failure to internalise ethical values?” As the ethicist Arthur Caplan said, “In many ways, rats and mice get greater protection as research subjects in the United States than do humans.”2 Efforts to change the Declaration of Helsinki that come from the US should be recognised for what they represent. The United States and the US Federal Drug Administration have abdicated oversight of human subjects research, as indicated by a recent report of the US Department of Health and Human Services inspector general, “. . . federal health officials did not know how many clinical trials were being conducted, audited fewer than 1 percent of the testing sites and, on the rare occasions when inspectors did appear, generally showed up long after the tests had been completed.”2 Sadly, I think that it is time for the rest of the world to look away from the US for moral leadership. Perhaps it is time to turn to the Canadian Ottawa Statement, to which the authors approvingly refer.

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)0.007
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: Editorial · Consensus signal: none
Teacher disagreement score0.228
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0080.007
Open science0.0020.007
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.2280.155

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 head0.051
GPT teacher head0.367
Teacher spread0.316 · 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
GenreEditorial

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

Citations11
Published2007
Admission routes1
Has abstractyes

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