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Record W2142621599 · doi:10.1002/jts.20369

Posttraumatic stress symptoms as a mediator between sexual assault and adverse health outcomes in undergraduate women

2008· article· en· W2142621599 on OpenAlexaff
Erin M. Eadie, Marsha Runtz, Julie Spencer‐Rodgers

Bibliographic record

VenueJournal of Traumatic Stress · 2008
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMediationPosttraumatic stressSexual assaultClinical psychologyPsychologyOccupational safety and healthDepression (economics)Injury preventionSuicide preventionPoison controlStructural equation modelingHuman factors and ergonomicsPsychiatryPhysical healthMental healthMedicineMedical emergency

Abstract

fetched live from OpenAlex

This study investigated the links between sexual assault experiences, posttraumatic stress symptoms, and adverse physical health outcomes among undergraduate women. Existing research has demonstrated that posttraumatic stress disorder mediates the relationship between trauma exposure and physical health in general, but this has yet to be tested for sexual assault specifically. Using structural equation modeling, support was found for a model in which posttraumatic stress symptom severity partially mediates the association between sexual assault severity and self-reported health outcomes. An alternative model using depression symptoms did not meet the criteria for mediation. Implications for the physical health of sexual assault survivors are discussed.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.067
GPT teacher head0.385
Teacher spread0.318 · 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 source (direct Gemma or distilled Codex), 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

Citations40
Published2008
Admission routes1
Has abstractyes

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