Characterizing Intimate Partner Violence-Caused Brain Injury in a Sample of Survivors in the Two Spirit, Lesbian, Gay, Bisexual, Transgender, Queer or Questioning Community
Bibliographic record
Abstract
Research in the field of intimate partner violence-caused brain injury (IPV-BI) has predominantly focused on heterosexual women, ignoring the unique needs of the Two Spirit, Lesbian, Gay, Bisexual, Transgender, Queer or Questioning (2S/LGBTQ) community. The purpose of this exploratory research was to better understand the prevalence of IPV and IPV-BI in 2S/LGBTQ relationships where IPV was defined as physical, psychological, financial, sexual, and/or identity-based abuse from a current of former intimate partner. This study used a cross sectional internet-based survey that ran from September to December of 2022. In addition to descriptive statistics, prevalence rates and their corresponding Wilson Score confidence intervals are reported to estimate the proportion of individuals who experienced IPV and IPV-BI. Finally, for both gender identity and sexual orientation, we tested whether participants with each identity had differing levels of brain injury severity compared to participants who did not hold that identity using Mann–Whitney U tests. In total, 170 2S/LGBTQ+ adults responded to the survey. Among the respondents, 54% identified as Two-Spirit, 24% identified as gay, 17% identified as queer, 14% identified as bisexual, and 8% identified as lesbian or pansexual, respectively. Respondents were predominantly multiracial, post-secondary educated, full-time employed, cisgender women (35%) or cisgender men (19%). The overwhelming majority reported lifetime prevalence of IPV at 98% ( n = 166, 95% CI [94.11, 99.08]). Additionally, 68% ( n = 115, 95% CI [60.29, 74.22]) of participants reported symptoms consistent with an IPV-BI. These results are consistent with the findings that the 2S/LGBTQ community are at heightened risk of experiencing physical IPV. These findings are the first to our knowledge to report a high rate of symptoms consistent with an IPV-BI in the 2S/LGBTQ population.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".