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Record W245016073

Special Issue: Canadian Governance for Ethical Research Involving Humans

2005· article· en· W245016073 on OpenAlexvenueaboutno aff
Michael McDonald

Bibliographic record

VenueHealth law review · 2005
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsnot available
Fundersnot available
KeywordsBioethicsAccountabilityCorporate governancePolitical scienceLawSociologyResearch ethicsEthical codeMedical ethicsManagementEngineering ethicsEngineering
DOInot available

Abstract

fetched live from OpenAlex

Dedication This double issue of Health Law Review is dedicated to memory of our friend and colleague T. Douglas Kinsella, CM, MD, FRCP. Doug Kinsella was a leader in effort to bring about reform of Canadian governance for research involving He founded and headed Office of Medical Bioethics at University of Calgary and served for years as Chair of University's Biomedical Research Ethics Board. As a founder of National Council on Bioethics of Research Involving Humans he led first (and only) systematic survey of treatment of human subjects by those working in Canadian medical schools. (1) In 1994 he became a member of Tri-Council Working Group on Ethics, which was charged by Presidents of Councils with responsibility of developing policies and guidelines to replace Councils' existing guidelines for research involving humans. (2) It was here that I came to know Doug very well especially as we served as co-members, along with Dr. Jean Joly, of Working Group's Editorial Committee. I do not believe that Working Group would ever have completed its task without Dr. Kinsella's insight, determination, and hard work. His deep commitment to highest principles of accountability and integrity along with depth of experience he brought as a physician, researcher and bioethicist were essential to production of Code of Ethical Conduct for Research Involving Humans. (3) After we submitted Code to Council Presidents, Doug continued his involvement in governance issues. He was a member of my team when we prepared a state of art assessment of Canadian governance for research involving humans for Law Commission of Canada. (4) In that report, he wrote about one of his abiding concerns--the role of physician-researcher and need for effective governance of physician-researchers whether they were in research institutions or operating within their private offices. (5) In latter regard, he played a leading part in establishing a Research Ethics Board at Alberta College of Physicians and Surgeons. To this day, Alberta remains only province where provincial regulatory body for physicians has taken effective responsibility for ensuring that all physicians receive ethical review of research called for in CMA Code of Ethics. (6) In 2002, I invited Doug to join small team that I organized for a research proposal on governance being prepared for CIHR. We were successful in that proposal. With support from CIHR one of major projects we undertook was to bring together scholars interested in governance of ethical health research involving humans, in order to prepare this special volume of Health Law Review. We scheduled a meeting for August 2004 at Whistler BC. It is with great sadness that I recall Doug contacting me in May to say that due to serious illness he would be unable to attend. He died on June 15, 2004. So it is to memory of Dr. T. Douglas Kinsella that we dedicate this publication. We are confident that theme of this special issue reflects a central concern of his professional career as a physician, medical researcher, and bioethicist. Introduction In August 2004 with help of research funding from CIHR, I brought together individuals who have contributed to this issue as well as others who were part of discussion. Because we met in Whistler, British Columbia, we playfully described ourselves as the Whistler Summit on Governance. We were a multi-disciplinary group with a wide range of perspectives on research ethics. Some of us have been intimately involved in formation of policy at international and national levels. Many of us have written on this subject matter before. Others were new to area. We came together with following objectives: * To consider positive and negative features of current governance in Canada for research involving humans * To propose new directions for such governance in areas identified at workshop * To produce articles on this topic for publication in a special issue of Health Law Review * To offer useful insights for those making or influencing policy in this area. …

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)0.036
metaresearch head score (Gemma)0.133
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.964
Threshold uncertainty score0.425

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0360.133
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0060.004
Science and technology studies0.0140.010
Scholarly communication0.0220.008
Open science0.0090.006
Research integrity0.0440.030
Insufficient payload (model declined to judge)0.0410.015

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 head0.712
GPT teacher head0.688
Teacher spread0.024 · 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.

Study designNot applicable
DomainMethods
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

Citations2
Published2005
Admission routes2
Has abstractyes

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