Bibliographic record
Abstract
Despite progressive law reforms, sexual assault complainants continue to experience the criminal justice response to the violations that they have suffered as unsatisfactory, if not traumatic. One emerging response to this dilemma involves greater consideration of the ethical boundaries imposed on lawyers that practice sexual assault law. What is the relationship between a criminal lawyer’s ethical duties and the reforms to the law of sexual assault in Canada? How do lawyers themselves understand the ethical limits imposed on their conduct of a sexual assault case? How do lawyers that practice in this area of law comprehend their role in the criminal law’s response to sexual harm? What is their sense of professionalism when acting in this capacity? If reforms to the law of sexual assault will not alone result in significant improvements to the experience of sexual assault complainants, perhaps greater focus on the ethics of sexual assault lawyering could improve the legal response to sexual harm. While the body of legal scholarship examining the issue of sexual violence has grown substantially in the past several decades, there has been very little research on the perspectives of criminal lawyers themselves. This is the first research aimed specifically at ascertaining how sexual assault lawyers understand their ethical obligations. Through analysis of semi-structured, in-depth interviews with experienced criminal defence lawyers and crown attorneys across Canada, this article presents a portrait of the ethical identity of sexual assault lawyers.
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 | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.035 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".