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Record W4313458635 · doi:10.1080/07448481.2022.2155054

Increasing knowledge and campus trust in reporting sexual and interpersonal violence: The role of the Title IX coordinator

2023· article· en· W4313458635 on OpenAlexaff
Roma Shah, Joseph Storch

Bibliographic record

VenueJournal of American College Health · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsGrand River Hospital
Fundersnot available
KeywordsInterpersonal communicationSexual violencePsychologyInterpersonal violenceLogistic regressionSample (material)Medical educationSuicide preventionPoison controlFamily medicineMedicineSocial psychologyCriminologyEnvironmental health

Abstract

fetched live from OpenAlex

Objective: The present study explores the influence of Title IX awareness on systematic barriers to reporting sexual and interpersonal violence among college students. Participants: The study surveyed undergraduate and graduate students from a public Northeastern institution (n = 10,615). The study also used a sub-sample of those that did not report their experience of violence (n = 6,319). Methods: The relationship between Title IX awareness and non-reporting was examined using the total sample (n = 10,615) and the relationship between Title IX awareness and systematic barriers was examined using the sub-sample of non-reporting participants (n = 6,319). Analysis was conducted using chi-square tests and logistic regression modeling. Results: Students who could identify their Title IX Coordinator were more likely to report their experience of sexual and interpersonal violence and less likely to identify the systematic barriers. Conclusions: The Title IX Coordinator may play a crucial role in increasing reporting knowledge and improving the campus climate.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.581
Threshold uncertainty score0.257

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.362
Teacher spread0.338 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations4
Published2023
Admission routes1
Has abstractyes

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