(De)Constructing the "Perfect Rape Victim" : an Analysis of Sexual Assault and Survivor Discourses in the Canadian Criminal Justice System
Bibliographic record
Abstract
The Canadian criminal justice system has seen many progressive changes to the way sexual assault cases are investigated and prosecuted over the past several decades. From the acknowledgement of spousal rape to the introduction of rape shield provisions, the law has seemingly changed to broaden the definition of what is considered a sexual assault. However, sexually-based offences are still vastly underreported and have the lowest attrition rates of indictable offences. Larger societal discourses around sexual assault and survivor-hood consist largely of rape myths, such as the idea that “real rape” only occurs when an “undeserving” woman is sexually assaulted by a “stranger in the dark.” These discourses permeate the Canadian criminal justice system, negatively influencing the experience of survivors who do not fit the narrow mould “real rape.” Drawing from Norman Fairclough’s Critical Discourse Analysis and Stuart Hall’s Discursive Approach, this Major Research Paper traces the effects of these discourses on constructions of sexual assault and survivor-hood in the legal system. Through a theoretical analysis of existing literature on the experiences of sexual assault survivors, this paper also examines the ways in which the language we use to describe sexual assault serves to cement rape myths and invalidate survivor experiences in every stage of the Canadian criminal justice system.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".