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Record W2757661264

Sexual assault on the rock: LGBTQ+ experiences in Newfoundland and Labrador

2017· article· en· W2757661264 on OpenAlexaffabout
Christopher Cumby

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsLesbianPsychologyPopulationSexual assaultCriminologySocial psychologyGender studiesGeographyDemographySociologyPoison controlHuman factors and ergonomicsMedicineEnvironmental health
DOInot available

Abstract

fetched live from OpenAlex

Many studies in North America have concluded that LGBTQ+ people are at a higher risk for
\nexperiencing sexual assault than their cisgender/heterosexual counterparts; however, no studies
\nto date have explored the experiences of sexual violence among LGBTQ+ people within
\nNewfoundland and Labrador. To this end, the objective of this study is to understand the sexual
\nexperiences of gender and sexual minority groups that have been uncomfortable, awkward, or
\nunwanted within the larger Newfoundland and Labrador LGBTQ+ community. The study was
\nadministered through an anonymous, online survey instrument, replicated from Menning and
\nHoltzman's (2014) study of on-campus LGBTQ+ sexual violence, and adapted for geographical
\ndifferences. The data were analyzed using a traditional content analysis of open-ended responses,
\nwhile descriptive statistics are used to summarize the closed-ended responses. Results from the
\nstudy indicate that sexual violence is a prominent issue within the community, demonstrating
\nthat LGBTQ+ people experience sexual violence similarly to the general population with some
\ndifferences. This study is therefore an initial exploration to which further research must be
\nconducted 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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.468
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0110.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.069
GPT teacher head0.327
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2017
Admission routes2
Has abstractyes

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