Bibliographic record
Abstract
The matter of 'abandoned embryos' arises when surplus IVF embryos are frozen and stored for later use. If the fertility clinic or storage facility in question does not have clear direction about what to do with these embryos, and/or payment for storage ceases, and/or the embryo providers cannot be reached, the embryos raise an ethical and practical challenge. On the one hand, there is a commitment to respect the autonomy of embryo providers to determine what should happen to their frozen embryos. On the other hand, there are weighty reasons why fertility clinics and storage facilities do not want responsibility, potentially in perpetuity, for other people's frozen embryos. This article examines the matter of 'abandoned embryos' - the emergence of the term, its use in policy and law, and its implications in the Canadian case. We demonstrate that despite an intricate legislative framework, there are important gaps that leave fertility clinics and storage facilities in the tenuous position of discarding 'abandoned embryos' without clear authorization, or storing them indefinitely. We argue that clarity in consent procedures coupled with flexible time limits on embryo storage provide an approach that can best serve the interests of all involved.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.020 | 0.006 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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".