Searching for Justice: Moving Towards a Trans Inclusive Model of Access to Justice in Canada
Bibliographic record
Abstract
Access to justice literature has paid little attention to the role of gender identity and gender expression as barriers to justice that must be addressed. As a marginalized and disenfranchised population, trans and gender nonconforming people experience specific barriers to justice that cisgender people typically do not. This paper seeks to address the gap in access to justice literature by attending to specific barriers to justice that trans people face in Canada. These barriers include socioeconomic inequalities; exclusion from the legal system; sex/gender certification and bigenderism within the legal system; and transphobia and cissexism within the legal system. Calling for a more holistic understanding of access to justice that is rooted in intersectionality, this paper outlines a trans inclusive approach to access to justice and provides recommendations for increasing access to justice for trans people.\nLa littérature sur l’accès à la justice a accordé peu d’attention au rôle de l’identité et de l’expression de genre en tant qu’obstacles à la justice qui doivent être abordés. En tant que population marginalisée et privée de ses droits, les personnes trans et les personnes non conformes au genre rencontrent des obstacles spécifiques à la justice que les personnes cisgenres ne rencontrent généralement pas. Cet article cherche à combler les lacunes de la littérature sur l’accès à la justice en s’intéressant aux obstacles spécifiques à la justice auxquels les personnes transgenres sont confrontées au Canada. Ces obstacles comprennent les inégalités socio-économiques, l’exclusion du système juridique, la certification du sexe/genre et le bigenrisme au sein du système juridique, ainsi que la transphobie et le cissexisme au sein du système juridique. Appelant à une approche intersectionnelle et holistique de l’accès à la justice, cet document présente une approche trans inclusive de l’accès à la justice et fournit des recommandations pour améliorer l’accès à la justice pour les personnes trans.
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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.041 | 0.012 |
| Scholarly communication | 0.015 | 0.006 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 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 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".