Hosting the others’ child? Relational work and embodied responsibility in altruistic surrogate motherhood
Bibliographic record
Abstract
Studies on surrogate motherhood have mostly explored paid arrangements through the lens of a contract model, as clinical work or as a maternal identity-building project. Turning to the under-examined case of unpaid, so-called altruistic surrogate motherhood and based on an analysis of interviews with women who had been unpaid surrogate mothers in a full gestational surrogacy with a friend or relative in Canada, the United States or Australia, this article explores altruistic surrogate motherhood as relational work. It argues that this form of surrogate motherhood within close interpersonal relations can be conceptualised through the relational work involved in hosting a child for the intended parents. The article explores how relational work in this context implies an embodied, asymmetrical and far-reaching sense of responsibility that surrogate mothers describe as characteristic of their surrogacy experience. In this way, the article sheds light on feminist concerns about surrogacy as an embodied and objectifying work of women while at the same time illuminating how surrogate mothers respond to the intended parents in light of their pre-surrogacy relationship, how meanings are negotiated by them and how relationships are managed during the pregnancy.
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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 | 0.010 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.038 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".