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Record W2262731576

Testing the Limits of Freedom of Contract: Commercialization of Reproductive Technologies and Materials

2008· article· en· W2262731576 on OpenAlexaff
Michael J. Trebilcock, Melody Martin, Anne Lawson, Penney Lewis

Bibliographic record

VenueSSRN Electronic Journal · 2008
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCommodificationCommercializationRemunerationNormativeBusinessContingencyEconomicsLaw and economicsMarketingPolitical scienceMarket economyLawEpistemologyFinance
DOInot available

Abstract

fetched live from OpenAlex

This article examines the cases for and against commercializing, or commodifying, reproductive materials and services. Using a supply/demand third-party framework, three basic scenarios in which commercial-exchange relationships may be possible - exchange of gametes and zygotes, exchange of gestational services, and exchange of fetal material - and the major parties of interest, or stakeholders, are identified. The study sketches the liberal, essentialist, and radical contingency theories that shape the debate over the commercialization of reproductive materials and services. The article then attempts to derive some basic governing principles that reflect as much common ground as possible amongst these various normative perspectives, while recognizing that complete reconciliation is impossible. Taken together, these principles are designed to reflect a strategy of constrained commodification, where commercialization or commodification, that is, financial remuneration, plays a relatively neutral role in the utilization of reproductive materials and services. In light of these principles, the article concludes by sketching legal and regulatory regimes with respect to the exchange of gametes and zygotes, gestational services, and fetal tissue.

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)0.045
metaresearch head score (Gemma)0.071
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: Empirical · Consensus signal: none
Teacher disagreement score0.045
Threshold uncertainty score0.240

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0450.071
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0090.096
Scholarly communication0.0180.027
Open science0.0030.014
Research integrity0.0130.010
Insufficient payload (model declined to judge)0.0060.001

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 head0.045
GPT teacher head0.298
Teacher spread0.253 · 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
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
Published2008
Admission routes1
Has abstractyes

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Same venueSSRN Electronic JournalSame topicReproductive Health and TechnologiesFrench-language works237,207