Bibliographic record
Abstract
I was very pleased to attend the ISFL Conference in Antwerp in July 2023, my first trip to Europe since the pandemic. It gave me a good opportunity to see old friends and to refl ect on the important role that the ISFL has played in my 40-plus-year career as a family law professor in Canada, and on some of the controversial issues that have been debated in the conferences and publications of the organisation, in particular regarding same-sex marriage. Some aspects of family law are themselves international law, in particular related to the Hague Conventions, and scholarship by ISFL members in diff erent countries is often directly cited and applied by domestic courts in Canada and elsewhere in dealing with these cases. These international aspects to family law have made the ISFL and conferences organised by prominent members like Prof. Marilyn Freeman especially valuable, providing fora for learning, discussion and debate. In some cases, a scholarly consensus developed at these meetings, such as on the need to better address issues of domestic violence in the implementation of Article 13 of the Hague Convention on Child Abduction. That ultimately resulted in Lady Brenda Hale, myself and some government representatives and Permanent Bureau staff undertaking a project to prepare a Guide to Good Practice on the implementation of that provision of the Hague Convention. Most of family law is domestic, and in a federal country like Canada, often based on subnational laws, making international perspectives less immediately central, and controversies in other jurisdictions sometimes seem a little less pressing. At the Antwerp Conference, I much appreciated a spirited debate at one session between English colleagues about the minutiae of proper interpretation of the Gender Recognition Act 2004 of the United Kingdom. The issue of the legal status of trans parents is certainly a live issue in my jurisdiction, but we have our own legislative and constitutional context, so the details of the discussion were less interesting to me than witnessing the level of passion and hearing about the social context of the debate.
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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.030 | 0.033 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.010 | 0.012 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".