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Record W7017520837

The awareness of sexual violence policy within Thompson Rivers University students

2019· article· en· W7017520837 on OpenAlexaffabout

Bibliographic record

VenueArca (British Columbia Electronic Library Network) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsThompson Rivers University
Fundersnot available
KeywordsSexual violenceState (computer science)Public policyDimension (graph theory)Set (abstract data type)Suicide preventionSocial issuesPoison control
DOInot available

Abstract

fetched live from OpenAlex

Thompson Rivers University (TRU) implemented new sexual violence policy in 2017; within this policy, they state a commitment to increasing the awareness of sexual violence. While increasing sexual violence awareness is important, another dimension to this is the awareness of the policy itself. Previous research conducted in the United States on student awareness of sexual violence policies found that there is a lack of sexual violence policy awareness among students (Potter, Edwards, Banyard, Stapleton, Demers, & Moynihan, 2016). There has been minimal research on this topic within Canada. This research aims to address this gap and identify if TRU students are aware of the sexual violence policy that is set in place to support them. Moreover, this research explores the process of how students became aware or could become aware of sexual violence policy in the future. The methodology of this research is a hand-written survey of 100 students that was distributed in public spaces on Thompson Rivers University’s Kamloops campus. This survey included a diverse group of students based on program and social location. The findings indicate that the majority of TRU students have little to no awareness of TRU’s sexual violence policy, as well as, other TRU policies. This supports the previous USA research that states many students are unaware of university policies (Brown, Henes, & Olson, 2016). Students who were aware, were primarily informed through poster campaigns, student orientation and the TRU website. Furthermore, students identified posters, social media and emails as their desired means for increasing their awareness.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.706
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.008
GPT teacher head0.249
Teacher spread0.242 · 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 designObservational
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
Published2019
Admission routes2
Has abstractyes

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