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Record W2416793705

Canada's Assisted Human Reproductive Act: is it scientific censorship, or a reasoned approach to the regulation of rapidly emerging reproductive technologies?

2004· article· en· W2416793705 on OpenAlexaffabout
Colin D. Rasmussen

Bibliographic record

VenuePubMed · 2004
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsLegislatureReproductive technologyPaymentHuman cloningHuman reproductionPolitical scienceLawBusinessBiology
DOInot available

Abstract

fetched live from OpenAlex

After more than a decade of study, discussion and debate, the Canadian House of Commons and Senate have approved the Assisted Human Reproduction Act. Building on the earlier Bill C-47, which died on the order paper in 1997, the Act bans human cloning for reproductive or therapeutic purposes, payment for surrogacy arrangements, and trading in human reproductive materials or their use without informed consent. In addition, the Act significantly restricts research using human reproductive materials. This article compares the Act to legislative regimes in other nations with advanced human reproductive science. It concludes that while the Act has many laudable goals, it is flawed in that it tries to cover too much legislative ground. As a result it unreasonable impairs the ability of Canadian scientists to compete in areas such as stem cell research, and area that is expected to yield significant new approaches to treating human disease.

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)0.002
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.699
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.069
GPT teacher head0.293
Teacher spread0.224 · 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 designObservational
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

Citations8
Published2004
Admission routes2
Has abstractyes

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