Techno-Maternity: Rethinking the Possibilities of Reproductive Technologies
Bibliographic record
Abstract
In this article, corporeal feminism is utilised as a tool to uncover the maternal bodies produced when reproductive technology meets pregnant flesh. Moving from the premise that bodies are not inert or stable entities but rather are constantly being produced and reproduced through their interaction with their environment, I highlight three of the many bodies that arise in techno-maternity. The body A¢â¬Eat riskA¢â¬â¢, the A¢â¬Ein/visibleA¢â¬â¢ body and the A¢â¬Ecommodified bodyA¢â¬â¢ are all discussed in order to reread both the possibilities and the problematics of reproduction in a technological age, and to complicate the staid feminist narrative of reproductive technology as either A¢â¬EliberatingA¢â¬â¢ or A¢â¬EoppressiveA¢â¬â¢.
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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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.054 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".