Truth and the Child 10 years on: Information Exchange in Donor Assisted Conception
Bibliographic record
Abstract
The original Truth and the Child was published in 1988 after publication of the Warnock Report, which identified issues arising from the increasing use of human reproductive technologies. The authors of the original collection felt that the rights of children to information about their origins had not been addressed satisfactorily by the committee chaired by Warnock, which indeed supported a policy of donor anonymity. This policy of anonymity was incorporated into the Human Fertilisation and Embryology Act (1990). Ten years on, this new collection revisits the issue, offering powerful arguments, anecdotes, and some research supporting the authors' position that with regards to information about origin the interests of the children created by donor insemination should take precedence over those of their infertile parents or the gamete donors who enabled their …
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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 | 0.040 | 0.082 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.026 |
| Scholarly communication | 0.015 | 0.022 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.013 | 0.017 |
| 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".