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Record W2108953244 · doi:10.1093/pch/19.2.64

Canada’s shameful history of nutrition research on residential school children: The need for strong medical ethics in Aboriginal health research

2014· article· en· W2108953244 on OpenAlexaffabout
Noni E. MacDonald, Richard Stanwick, Andrew Lynk

Bibliographic record

VenuePaediatrics & Child Health · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsCanadian Paediatric Society
Fundersnot available
KeywordsMedicineResearch ethicsPediatric researchFamily medicineGerontologyMedical educationPediatricsPsychiatry

Abstract

fetched live from OpenAlex

While both science and research have very long and detailed histories, the formal history of medical ethics is short. The discipline’s foundation arises from the medical atrocities performed in the name of science by a cadre of Nazi doctors during World War II. The actions were so despicable that 20 physicians were put on trial in Nuremberg for violation of the Hippocratic Oath and behaviour incompatible with their education and profession. A result of this 1946 trial was the Nuremberg Code of Medical Ethics (1). Last year, Ian Mosby, a food historian and postdoctoral fellow at the University of Guelph (Guelph, Ontario), revealed details of highly unethical nutrition experiments performed on Canadian Aboriginal children at six residential schools between 1942 and 1952 (2) – our own medical atrocities. The experiments were performed by the Department of Indian Affairs of Canada under the direction of two physicians: Dr Percy Moore, the Indian Affairs Branch Superintendent of Medical Services, and Dr Frederick Tisdall, a famed nutritionist, a former president of the Canadian Paediatric Society and one of three paediatricians at The Hospital for Sick Children (Toronto, Ontario) who developed Pablum infant cereal in the 1930s. In these experiments, parents were not informed, nor were consents obtained. Even as children died, the experiments continued. Even after the recommendations from the Nuremberg trial, these experiments continued.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.072
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.781
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0720.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0000.000

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 head0.072
GPT teacher head0.436
Teacher spread0.364 · 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 teacher head, not a consensus.

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

Citations72
Published2014
Admission routes2
Has abstractyes

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