TECHNOLOGY-FACILITATED VIOLENCE AGAINST WOMEN & GIRLS: ASSESSING THE CANADIAN CRIMINAL LAW RESPONSE
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Alongside increasing awareness of the ways in which digital technologies can be used to facilitate violence against women and girls, there have come questions about the applicability and efficacy of Canadian criminal law responses. Rooted in a feminist perspective and based on a review of over 400 reported cases involving technology-facilitated violence (TFV), the authors argue that Canadian criminal law both can and should respond. Technology-facilitated violence against women and girls (TFVAWG), like violence against women and girls (VAWG) more generally, undermines their rights to sexual integrity, dignity, autonomy and to equal participation in public and private life. Criminal law responses are an important mechanism for expressing public disapprobation of TFVAWG’s negative effects on these fundamental rights. However, the authors’ review reveals certain shortcomings in achieving survivor-centred outcomes. Recognizing these and other limitations of criminal law, the authors also assert that proactive approaches aimed at broader social transformation will be essential to ensuring the full and equal participation of women and girls in a digitally connected world.
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.
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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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 it