2STNBGN Perspectives on Access to Justice: The zine
Bibliographic record
Abstract
We have seen many positive changes to the law in Canada in the decade or so to better address the needs of Two Spirit, trans, non-binary, and gender non-conforming (2STNBGN) people – such as the inclusion of gender identity and/or expression in human rights legislation and the ability to change one’s name and gender marker on government documents without needing to have gender affirming surgery. We’ve also seen an increase in far-right extremism across Canada, the United States, and the United Kingdom, leading to a notable increase in anti-trans hate. Our own experiences and the findings of research studies show that 2STNBGN people still experience a lot of violence and injustice. It is important to understand the needs of 2STNBGN communities across Canada in order to better promote 2STNBGN liberation and justice and aid in the fight against anti-trans hate.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.031 | 0.035 |
| Scholarly communication | 0.014 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.012 |
| Insufficient payload (model declined to judge) | 0.013 | 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".