Gender-Based Violence and 2SLGBTQI+ Groups
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
Gender-based violence (GBV) is a pervasive public health issue that affects all Canadians, including Indigenous peoples (First Nations, Inuit, Métis); however, it is well-understood that GBV disproportionately affects certain social groups. An estimated one million Canadians aged 15 and older identify with a sexual orientation other than heterosexual, and approximately 1 in 300 people identify as transgender or non-binary. In Canada, violence rooted in biphobia, homophobia, transphobia, and queerphobia results in disproportionately high levels of GBV experienced by Two-Spirit, lesbian, gay, bisexual, transgender, queer (or questioning), intersex, and other individuals who identify outside of cisgender, heterosexual norms (2SLGBTQI+ people). The health impacts of GBV experienced by people who identify outside of gender and sexuality norms are profound, spanning mental and physical dimensions across the life course. This article employs an anti-oppression queer framework to provide a comprehensive overview of current knowledge and understandings of GBV in Canada concerning 2SLGBTQI+ people, emphasizing (1) the disproportionate risk of GBV faced by 2SLGBTQI+ communities within the context of Canadian social politics; (2) key links between the experiences of GBV among 2SLGBTQI+ people in Canada and associated health disparities; (3) current orientations to GBV policy, practice, and research, with an emphasis on contemporary, inclusive paradigms that shape equity-oriented health and social services; and (4) future directions aimed at eradicating GBV and addressing health inequities among 2SLGBTQI+ people in Canada. While much work remains to be done, the expansion of 2SLGBTQI+ inclusion in GBV prevention within the past five years points to a promising future.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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