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Record W2626666585 · doi:10.1177/0886260517713714

The Effect of Hypervigilance on the Relationship Between Sexual Victimization and Gait

2017· article· en· W2626666585 on OpenAlexaff
Lindsay Fulham, Angela S. Book, Julie Blais, Mary B. Ritchie, Nathalie Gauthier, Kimberly Costello

Bibliographic record

VenueJournal of Interpersonal Violence · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsWestern UniversityBrock UniversityCarleton University
Fundersnot available
KeywordsHypervigilancePsychologyVulnerability (computing)Poison controlGaitSexual abuseInjury preventionHuman factors and ergonomicsClinical psychologyDevelopmental psychologyPhysical medicine and rehabilitationPsychiatryMedicineAnxietyMedical emergencyComputer security

Abstract

fetched live from OpenAlex

Two studies investigated the relationship between hypervigilance, vulnerable gait cues, and a history of sexual victimization. In Study 1 ( N = 130), gait was coded for traits relating to vulnerability where half of the sample was unaware of being videotaped (Unaware condition) and the other half was aware (Aware condition) to induce hypervigilance (between-subjects design). Gait was associated with a history of victimization, but only in the Unaware condition. A mediation analysis found that perceived impact of victimization mediated the association between victimization and vulnerable gait. In Study 2, female university students ( N = 62) were measured on their victimization history and hypervigilance. Walking styles of participants were coded for the presence of vulnerability cues in both an Unaware and Aware condition (within-subjects design). A regression analysis revealed an association between hypervigilance and a reduced change in walking style between the two conditions. More notably, hypervigilance was found to moderate the relationship between sexual victimization and vulnerable gait but not violent victimization and vulnerable gait. These results suggest that hypervigilance may be an adaptive response that reduces perceived vulnerability in sexually victimized women.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.053
GPT teacher head0.360
Teacher spread0.306 · 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

Citations12
Published2017
Admission routes1
Has abstractyes

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