Bibliographic record
Abstract
adoption 38, 84, 86-8, 97, 113 same-sex couples 83, 87-8, 96 adult relationships: general structures of recognition 42-3 analysis 47-51 civil partnership in England and Wales 49, 51-6 adultery 68 ageing society 81-2 American Law Institute marital agreements 63, 65 anonymous birth 101 ante-nuptial agreements see marital agreements artificial reproductive technology (ART) 83-4, 85, 89-99, 112-13 ECtHR 89-93, 94, 97 gender discrimination 99 mitochondria 100, 113, 114 multiple parents 112-19 non-traditional family forms, gender discrimination and 98-9 surrogacy 39, 41, 84, 86, 93-8, 99, 113 Australia 64, 79, 130 Austria artificial reproductive technology (ART) 89-93 cohabitation 69 gender, legal recognition of preferred 120 recognition of adult relationships 44, 45 autonomy 69, 132-3 cohabitation 73-6 marital agreements and 61-7 Belgium 46 cohabitation 70 intersex 127 recognition of adult relationships 44, 45, 56 registered partnerships 49-50, 81 British Columbia multiple parents 116-117 Canada assisted reproduction: multiple parenthood 116-17 carer relationships 81 caring relationships 81-2 California multiple parents 115-16, 117 surrogacy 95 Catalonia 44 children 38-9, 42, 71-2, 130, 133 best interest of the child 82-3, 85, 86, 88, 97, 115, 117, 118 child maintenance 74, 117 Hague Convention (1993) 38 (il)legitimacy 7-11, 42, 83 names 33, 119 origins, right to know 85-6, 101, 114, 115 passport applications 94 citizenship names, free movement and EU 32-6, 119 civil partnership see registered/civil partnership civil-status records 36, 37, 129 clean break 60 cohabitation 38-9, 41-2, 43-4, 69-76, 132 adoption 87, 88 artificial reproductive technology (ART) 98 autonomy 73-6
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.738 | 0.583 |
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".