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Record W2975472285 · doi:10.5539/ass.v15n10p84

Surrogacy in China: Public Opinion, Litigations, and Court Rulings

2019· article· en· W2975472285 on OpenAlexvenueno aff
Qian Tang

Bibliographic record

VenueAsian Social Science · 2019
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsChinaLawDilemmaPolitical scienceRevocationVaguenessPublic opinionSociologyBusinessLaw and economics

Abstract

fetched live from OpenAlex

Culturally, commercial surrogacy has come to be viewed and criticized as immoral. Thus, many prefer it to be outlawed in China. At the same time, “to carry on the bloodline of the family” and having more children are also culturally celebrated in Chinese society.  The two cultural traditions, together with the implementation and gradual revocation of the one-child policy in the 21st century, have led to a dilemma modern Chinese parents are facing: more and more couples feel morally obligated to have more children after the revocation of the one-child policy but are too old to naturally reproduce. With the vagueness of regulations around commercial surrogacy in China, more couples have resorted to surrogacy in the past decade, which currently functions in a grey market. Within the unregulated market, both moral and legal concerns emerge. Through analysis of public opinion, litigations, as well as court rulings on surrogacy in China, this paper asks the following question: To what extent does the societal attitude in China on surrogacy align with that of litigations and court rulings on surrogacy in China? This paper hopes to provide insight into the Chinese surrogacy markets and responses from different actors within the process of surrogacy, leading to broader questions such as: How can litigations in China on surrogacy be improved? How can we ensure rights of all actors in a transaction concerning surrogacy? Should surrogacy be permissible at all? These are relevant questions relating to the structural violence prevalent in the seemingly peaceful modern China and have an impact on the direction of future feminist studies.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.367
Threshold uncertainty score0.224

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.020
GPT teacher head0.324
Teacher spread0.304 · 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

Citations8
Published2019
Admission routes1
Has abstractyes

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