Addressing Online Violence Against Women and Girls in the Commonwealth Caribbean and the Americas: The Role of Bystanders
Bibliographic record
Abstract
The purpose of this report is to map the prevalence of online violence against women and girls, with a particular focus on so-called innocent bystanders and the state of laws, institutions, policies and practices within the Caribbean and Americas region of the Commonwealth (Canada). Cyberviolence against women and girls in the Commonwealth countries of the Caribbean and Americas (Canada) is recognised as a serious problem, and measures are being taken to address it. The prevalence of cyberviolence in terms of its root causes and impacts is gender based, with a disproportionate impact on females and marginalised individuals where there is also intersectionality of race, ethnicity, religion, sexual orientation, poverty, disability and other socioeconomic factors. Similar types of violence against women and girls often occur in both offline and online spheres or originate in one sphere and carried through into the other. In the most serious cases, cyberviolence can lead to physical assaults and even suicide.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".