Surrogacy relationships: a critical interpretative review
Bibliographic record
Abstract
Based on a critical interpretative review of existing qualitative research investigating accounts of 'lived experience' of surrogates and intended parents from a relational perspective, this article proposes a typology of surrogacy arrangements. The review is based on the analysis of 39 articles, which belong to a range of different disciplines (mostly sociology, social psychology, anthropology, ethnology, and gender studies). The number of interviews in each study range from as few as seven to over one hundred. Countries covered include Australia, Canada, Greece, India, Iran, Israel, Italy, Mexico, Norway, Russia, Sweden, UK, Ukraine, and the USA. Most studies focus only on surrogacy practices in one country (although often with intended parents from other countries), and some include several countries (e.g. interviewees from several countries or fieldwork in different field-sites). The proposed typology goes beyond the division between altruistic versus commercial, and traditional versus gestational surrogacy, in order to inform further research and to contribute to bioethical and policy debates on surrogacy in a transnational context. Four types of relations are identifiable: open, restricted, structured, and enmeshed. The criteria which influence these relationships are: the frequency and character of contact pre- and post-birth; expectations of both parties; the type of exchange involved in surrogacy arrangements; and cultural, legal, and economic contexts. The theoretical contribution of the article is to further the development of a relational justice approach to surrogacy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.107 | 0.206 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.031 | 0.022 |
| Science and technology studies | 0.006 | 0.016 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.005 | 0.007 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".