Non-binary gender markers: Mobility, migration, and media reception in Europe and beyond
Bibliographic record
Abstract
Although European Union legal frameworks tend to conceive of sex and gender in binary terms, a growing number of countries in Europe and around the world have been increasingly allowing for third gender markers and non-binary possibilities in identity documents, passports, and public registries, of which the X marker in the sex or gender field has become the most common. However, initiatives like the X, which may initially signal trans-friendliness, must be considered alongside heightened border surveillance. As more and more European countries begin to follow this trend of expanding possibilities for registering (non-binary) gender (e.g. Malta, Denmark, Germany, the Netherlands), we look here to some illustrative examples (e.g. Nepal, Canada, Pakistan) that have been at the forefront of non-binary legal recognition to interrogate the complications and conundrums that these developments may provoke in European contexts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".