Sexual assault on the rock: LGBTQ+ experiences in Newfoundland and Labrador
Bibliographic record
Abstract
Many studies in North America have concluded that LGBTQ+ people are at a higher risk for experiencing sexual assault than their cisgender/heterosexual counterparts; however, no studies to date have explored the experiences of sexual violence among LGBTQ+ people within Newfoundland and Labrador. To this end, the objective of this study is to understand the sexual experiences of gender and sexual minority groups that have been uncomfortable, awkward, or unwanted within the larger Newfoundland and Labrador LGBTQ+ community. The study was administered through an anonymous, online survey instrument, replicated from Menning and Holtzman's (2014) study of on-campus LGBTQ+ sexual violence, and adapted for geographical differences. The data were analyzed using a traditional content analysis of open-ended responses, while descriptive statistics are used to summarize the closed-ended responses. Results from the study indicate that sexual violence is a prominent issue within the community, demonstrating that LGBTQ+ people experience sexual violence similarly to the general population with some differences. This study is therefore an initial exploration to which further research must be conducted in order to advance understanding of this phenomenon.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".