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Record W4392746786 · doi:10.4337/9781802207651.00014

Surrogacy, feminism and LGBTQ2S+ family building

2024· book-chapter· en· W4392746786 on OpenAlexaboutno aff
Vanessa Gruben, Stefanie Carsley, Alicia Czarnowski

Bibliographic record

VenueEdward Elgar Publishing eBooks · 2024
Typebook-chapter
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsFeminismGender studiesSociologyPolitical science

Abstract

fetched live from OpenAlex

Surrogacy plays a key role in enabling LGBTQ2S+ family building. However, many LGBTQ2S+ intended parents have faced, and continue to experience difficulties accessing surrogacy and other forms of reproductive technologies. Even in countries where absolute prohibitions on surrogacy do not exist, LGBTQ2S+ persons may face barriers to building their families through surrogacy including through parentage laws, heteronormative clinical practices and financial obstacles. Feminist scholars and activists are divided on whether these restrictions or prohibitions are warranted. In this chapter, we argue that law and policymakers can introduce measures which support LGBTQ2S+ parents while nonetheless protecting surrogates’ rights and interests. We use Canada as a case study to illustrate how law and policymaking impacts family building through surrogacy for LGBTQ2S+ families. We focus on four areas: (1) recognition of parental rights and responsibilities; (2) transnational or cross-border family building; (3) care by fertility clinics and hospitals; and (4) financial considerations. In our view, the Canadian experience may provide helpful insight for other jurisdictions seeking to reform their surrogacy laws in order to protect both the interests of surrogates and LGBTQ2S+ families.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.782
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.003
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 head0.037
GPT teacher head0.284
Teacher spread0.246 · 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 designNot applicable
Domainnot available
GenreOther

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

Explore more

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