Roundtable on Deregistration and Gender Law Reform Internationally
Bibliographic record
Abstract
In this roundtable discussion, early-career researchers working in the field of law, gender, and sexuality discuss international and trans-national developments to legal gender. 'The Future of Legal Gender' research project focused on the legislative framework of England and Wales to develop a prototype for decertification. The domestic legislation, however, was situated within a wider international context throughout the project. This roundtable discussion, therefore, provided an opportunity for reflection on the transnational issues raised by decertification, with a particular focus on developments arising in the jurisdiction(s) studied by the early career researchers. The roundtable began with a brief outline of these recent developments before moving to an open discussion on key themes including the value of reform on wider society, changes on-the-ground by non-state actors, and alternative processes for tackling gender inequalities without certifying legal gender. The online conversation took place on 28 June 2021 and has been transcribed and edited for continuity, clarity, and referencing.
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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 | 0.027 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.017 | 0.023 |
| Open science | 0.004 | 0.017 |
| Research integrity | 0.019 | 0.023 |
| Insufficient payload (model declined to judge) | 0.042 | 0.005 |
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".