The Human Rights Implications of Not-for-Profit Surrogacy Organizations in Cross-Border Commercial Surrogacy: An Australian Case Study
Bibliographic record
Abstract
Cross-border surrogacy is a global industry that offers intended parents options for family formation by providing foreign surrogate mothers remuneration, directly or via an intermediary, in excess of their actual out-of-pocket expenses. It is a multi-million-dollar business with no international regulation.1 In most countries, limited domestic regulation or oversight is in place. Many countries − such as Australia, the United Kingdom, New Zealand, Canada, Hong Kong and South Africa − only permit altruistic surrogacy, while Germany and France ban surrogacy entirely.2 Fully legalized commercial surrogacy is the model followed in some states in the United States of America (USA), as well as Georgia and Ukraine.3 This unregulated cross-border market has produced a lucrative business, with surrogacy arrangements growing by nearly 1,000 per cent between 2006 and 2010.4 The for-profit surrogacy sector has expanded and fertility not-for-profit organizations have also entered the market.5
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".