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Record W2177561884 · doi:10.1177/0886260515614563

Understanding Support Providers’ Views of “Helpful” Responses to Sexual Assault Disclosures: The Impacts of Self-Blame and Physical Resistance

2015· article· en· W2177561884 on OpenAlex
Victoria Sit, Regina A. Schuller

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Interpersonal Violence · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsYork UniversityUniversity of Toronto
Fundersnot available
KeywordsHelpfulnessBlamePsychologySelf-disclosureClinical psychologyResistance (ecology)Social psychologyPoison controlSuicide preventionSexual assaultInjury preventionHuman factors and ergonomicsOddsMedicineLogistic regressionMedical emergency

Abstract

fetched live from OpenAlex

Prior research on the factors associated with various disclosure responses has often been conducted on sexual assault victims and formal support providers, while informal helpers, who are the most common recipients of disclosures, have received far less attention. This experimental study examined potential informal helpers' views of disclosure reactions and their influence on the self-reported likelihoods of engaging in those responses. Undergraduate students at a large Canadian university ( N = 239) received vignettes describing a hypothetical sexual assault disclosure that varied on victim's self-blame and physical resistance, and then rated common disclosure reactions. The results revealed that participants' perceptions of various responses were at odds with victims' experiences, with many negative responses, such as victim blame and egocentrism, viewed as equally or more helpful than positive responses, such as emotional support. Moreover, when the victim blamed herself and did not physically resist, positive responses were seen as less helpful whereas negative responses were seen as more helpful, with some notable gender differences. Regression analyses indicated that the perceived helpfulness of each response was the strongest predictor of the likelihood of providing that response. Practical implications of these findings 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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score0.321

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
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 head0.132
GPT teacher head0.379
Teacher spread0.247 · 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