Commercial Surrogacy: Invisible Reproductive Workers in Ghana
Bibliographic record
Abstract
The issues facing surrogates are labour issues. However, there is scanty literature on the working conditions of surrogates in sub-Saharan Africa. This article explores the labour conditions of these unprotected and invisible reproductive workers in Ghana. In-depth interviews were conducted with key informants between 2018 and 2019. The study revealed the following: 1) Baby agents were increasingly playing a dominant role in the surrogacy industry, and through the surrogacy homes are able to create docile and disciplined surrogates. 2) Surrogacy agreements were oppressive and designed to reinforce the control over the bodies of surrogates. 3) Pregnancy-related scars leave emotional scars on the minds of surrogates. We recommend state regulation of the industry to ensure strict supervision of baby agents to minimise exploitation of surrogates. KEYWORDS: surrogacy home; baby agents; surrogates; commercial surrogacy; Ghana
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".