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Record W2243280115

Does a Patient Have a Constitutional Right to the Freedom of Medical Research? Regenerative Medicine and Therapeutic Cloning Research in Canada

2012· article· en· W2243280115 on OpenAlexaffabout
Jennifer A. Chandler

Bibliographic record

VenueSSRN Electronic Journal · 2012
Typearticle
Languageen
FieldMedicine
TopicBiomedical Ethics and Regulation
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsArgument (complex analysis)HarmCharterPolitical scienceContext (archaeology)LawHuman cloningLaw and economicsCloning (programming)MedicineSociologyBiology
DOInot available

Abstract

fetched live from OpenAlex

Constitutional arguments regarding the freedom of scientific research often focus on the freedom of speech of researchers, with much less attention to the potential constitutional claims that could be made on behalf of patients who may one day benefit from the fruits of that research. This article explores whether patients have a claim to unimpeded medical research under the Canadian Charter of Rights and Freedoms, using as a case study the Canadian federal prohibition on human cloning –– including ““therapeutic cloning”” (or the derivation of stem cells that are immunologically compatible with the recipient patient for use in regenerative medicine). The conclusion drawn in this case study is that a constitutional claim can be made in this context and ought to be available as an argument more broadly, although the speculativeness of the eventual benefits of therapeutic cloning research is a significant weakness. The concern over harm to women due to the demand for human oocytes for research and eventual therapy is a credible and compelling one that would justify some restrictions on the research under section 1 of the Charter. Nonetheless, the prohibition of all therapeutic cloning research is vulnerable to the argument that it is overbroad in that it forecloses lines of therapeutic cloning research that do not endanger women.

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)0.018
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.493
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.065
GPT teacher head0.390
Teacher spread0.325 · 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 designTheoretical or conceptual
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

Citations0
Published2012
Admission routes2
Has abstractyes

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