Legal embedding planned lesbian parentage. Pouring new wine into old wineskins?
Bibliographic record
Abstract
Legal embedding planned lesbian parentage. Pouring new wine into old wineskins? Legal position of a known donor constitutes an ongoing challenge. Known donors are often willing to play a role in the child’s life. Their wishes range from scarce involvement to aspiring legal parentage. Therefore three persons may wish for parental role. This is not catered for in the current laws allowing only for two legal parents. Several studies show how lesbian mothers and a donor ’devise new definitions of parenthood’ extending ’beyond the existing normative framework’. However, the diversity in the roles of the donors suggests a split of parental rights between three persons rather than three traditional legal parents. In this article I will discuss three jurisdictions (Quebec, Sweden and the Netherlands), allowing co-mother to become legal parent other than by a step-parent adoption. I will examine whether these jurisdictions attempt to accommodate specific needs of lesbian families by splitting up parentage ’package’ between the duo-mothers and the donor.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".