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Record W2163197924

From en ventre sa mere to Thawing an Heir: Posthumously Conceived Children and the Implications for Succession Law in Canada

2013· article· en· W2163197924 on OpenAlexaffvenueabout
Christine Doucet

Bibliographic record

VenueDalhousie journal of legal studies · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsYork University
Fundersnot available
KeywordsLegislatureEcological successionLegislationLawEstateInheritance (genetic algorithm)WarrantProbatePolitical scienceSociologyCommon lawBusiness
DOInot available

Abstract

fetched live from OpenAlex

The rapid and continued advancements in assisted reproductive technology now make it possible for children to be both conceived and born after the death of a genetic parent. While succession legislation across Canada recognizes situations in which a child is conceived before, but born after, the death of a genetic parent, the majority of provincial legislative schemes are silent with respect to the succession rights of posthumously conceived children, specifically, the right to inherit on intestacy. Many of the provincial legislative schemes governing intestate succession were enacted before the development of assisted reproductive technology, and the legislatures perhaps did not contemplate these developments and the implications these advancements can have on succession law. As technology continues to advance, these implications, including the rights of posthumously conceived children to inherit on intestacy, warrant consideration. The purpose of this paper is to examine the implications of posthumously conceived children on estate litigation and succession law in Canada, as well identify and explore possible ways of addressing this emerging issue. Any consideration, however, requires a balanced approach. By examining the ways in which other jurisdictions have addressed this issue, this paper seeks to outline possibilities and considerations for reform.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.528
Threshold uncertainty score0.862

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.022
GPT teacher head0.317
Teacher spread0.295 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2013
Admission routes3
Has abstractyes

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Same venueDalhousie journal of legal studiesSame topicMulticultural Socio-Legal StudiesFrench-language works237,207