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Record W7000079886

Enforcing Intentional Motherhood: The Harrowing Consequences Arising from the Inconsistency of Statutes Regarding Surrogacy, and How the Enforcement of Surrogacy Contracts is the Answer

2024· article· en· W7000079886 on OpenAlexaboutno aff

Bibliographic record

VenueEngagedScholarship @ Cleveland State University (Cleveland State University) · 2024
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsStatuteScrutinyEnforcementState (computer science)Subject (documents)Common law
DOInot available

Abstract

fetched live from OpenAlex

This Note discusses how the practice of commercial surrogacy is treated across the United States. Most notably, how the courts treat surrogacy contracts from state to state. A summary of how Canada views the practice of surrogacy will provide a general view into how the view of the practice is different across borders. It will be discovered that, while there is a federal law governing surrogacy in Canada, there is no federal law in either country that enforce surrogacy contracts or treat surrogacy contracts as valid contract between two adult parties. This is due to the preconceived notions of what constitutes a “mother” or a “parent” by statutes that are often as outdated as they are disregarding the will of two parties entering a mutual agreement in writing. It will be argued, throw a show of evidence, that federal enforcement of surrogacy contracts will ensure that these contracts are subject to legal scrutiny and care. As well, it will be shown that surrogacy contracts are not against public policy and are, in fact, economically beneficial. I will use British Columbia’s Family Law Act as an example of how surrogacy contracts should be involved in the surrogacy process. The Note concludes that an intent approach should be used when analyzing the rightful parents of a baby born via surrogacy and that surrogacy contracts should be enforced to protect both parties during the surrogacy process.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.262
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.041
GPT teacher head0.246
Teacher spread0.205 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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