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Record W2199057602

(Re)Forming Parenthood: The Assignment of Legal Parentage Within Planned Lesbian Families

2009· article· en· W2199057602 on OpenAlexaboutno aff
Fiona Kelly

Bibliographic record

VenueSSRN Electronic Journal · 2009
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsLesbianLegislationLegislatureContext (archaeology)Family lawSociologyPolitical scienceLawGender studiesGeography
DOInot available

Abstract

fetched live from OpenAlex

Planned lesbian families - defined here as families in which a single lesbian woman or a lesbian couple decide to have a child using some form of assisted conception - are greater in number and more visible today than ever before, yet only a single Canadian province has attempted to address through legislation the assignment of legal parentage within them. The absence of legislation in this area is of great concern to lesbian mothers and their children who, unable to fall back on legislative presumptions or those derived from biology, live with considerable legal uncertainty. Given the unique legal and social issues raised by lesbian families, the enduring homophobia that continues to characterize their experience of family, and the lack of Canadian research in the field, planned lesbian families warrant specific empirical attention. This article tackles the question of how legal parentage might be assigned within planned lesbian families drawing on empirical data collected through 36 interviews with 49 lesbian mothers living in British Columbia and Alberta. It addresses how lesbian mothers understand and define parenthood within their own families, and how their understandings and definitions might be translated into a law reform context. It concludes by offering a law reform proposal grounded in intentionality, one that presumptively protects the lesbian nuclear family and allows for the possibility of three or four-parent families in instances where the presumptive parents have agreed to such an arrangement.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.498
Threshold uncertainty score0.772

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.017
GPT teacher head0.290
Teacher spread0.273 · 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 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

Citations31
Published2009
Admission routes1
Has abstractyes

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