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Record W234085529

Genomics and Intellectual Property: Considering Alternatives to Traditional Patenting

2008· article· en· W234085529 on OpenAlexaboutno aff
Emily Marden, Cheryl Power, David Hartell, Ed Levy, Ben Warren

Bibliographic record

VenueDigitalGeorgetown (Georgetown University Library) · 2008
Typearticle
Languageen
FieldMedicine
TopicEthics in Clinical Research
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Intellectual propertyPolitical sciencePublic relationsPublic policySketchSociologyLawHistory
DOInot available

Abstract

fetched live from OpenAlex

Introduction While the history of U.S. and international research ethics is well documented, little has been written on the formation of Canadian policy and practice. (2) Most commentary on Canadian policy has centred on content, particularly on gaps and shortcomings. (3) This is an unfortunate situation with both practical and intellectual implications. If Canadians are to understand and assess our policies and practices in this area, it is vital to have a sound historical understanding of our situation. Otherwise policy-making is likely to be erratic and ineffective. Intellectually the history of research ethics has become a subject in its own right. Beyond Canada the lack of a good Canadian history adds to the misperception that all national policies are clones of Belmont. It is vital, then, to have a sound intellectual history of key periods in Canadian research ethics policy. My intention is to provide a sketch of the formation of the 1998 Tri-Council Policy Statement: Ethical Conduct of Research Involving Humans (TCPS). (4) My primary focus will be on process and contextual elements with less emphasis on content issues. This is in part due to space limitations--each of the multiple content issues deserve detailed treatment in their own right. However, I also believe that what is most lacking at this stage is a discussion of process and context. I have several reasons for focussing on TCPS. The TCPS is now Canada's policy for research ethics in most of the public research sector even though other policies (particularly ICH-GCP) are also relevant. (5) Moreover, issues arising during the TCPS process continue to this day. This history may also have particular relevance as a new formulation of the TCPS is being advanced for fall 2008, (6) and the Sponsors' Table continues its deliberations on research governance. (7) The formation of any policy for advancing ethical practice is a complex matter requiring a context sensitive balancing of matters of principle with practical considerations. The challenge is to balance these in a realistic and ethical way. Locating our situation historically helps answer the question of whether a good balance has been struck. In this paper I will first address two questions: what were the circumstances that led to the creation of the TCPS and how was the TCPS created? In the final section I will draw some lessons from this history. This paper draws on my experience as a member and deputy chair of the Tri-Council Working Group on Ethics (TCWG)--the group that drafted the document (the Code) that led to the TCPS. I draw also on the subsequent work that my colleagues and I for the Law Commission of Canada (LCC) and on a CIHR-sponsored study on Canadian governance of ethical health research involving humans and a comparison of US and Canadian governance. (8) As part of the latter, Dr. Fern Brunger (MUN) interviewed key participants (n=9) in the formation of TCPS. I have also drawn on documentation from the TCWG period and afterwards. 1. Circumstances Leading to the TCWG Prior to the TCPS, the key Canadian policies for governing research involving humans were the 1987 Medical Research Council Guidelines on Research Involving Human Subjects (9) and the 1979 Social Sciences and Humanities Research Council Guidelines (10) which originated with Canada Council in 1976. Guy Rocher, who was involved in the Canada Council process, says that the SSHRC Guidelines did not have much influence on social sciences and humanities researchers, the majority of whom were unaware of their existence, including members of the research ethics committees of Canadian universities. (11) The third federal research council, the Natural Sciences and Engineering Research Council (NSERC), had no guidelines in this area even though it funded research in such sensitive areas as experimental psychology and biomedical devices. (12) Closely connected to the MRC and its Guidelines was the National Council on Bioethics in Human Research (NCBHR). …

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)0.042
metaresearch head score (Gemma)0.049
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.074
Threshold uncertainty score0.254

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0420.049
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0050.006
Science and technology studies0.0110.078
Scholarly communication0.0270.025
Open science0.0060.008
Research integrity0.0200.011
Insufficient payload (model declined to judge)0.0190.001

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 head0.317
GPT teacher head0.336
Teacher spread0.019 · 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 designTheoretical or conceptual
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

Citations11
Published2008
Admission routes1
Has abstractyes

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