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Record W2283101619 · doi:10.1097/jfn.0000000000000101

Nonoffending Guardian Assessment of Hospital-Based Sexual Abuse/Assault Services for Children

2016· article· en· W2283101619 on OpenAlexaboutno aff
Janice Du Mont, Sheila Macdonald, Daisy Kosa, Tanya Smith

Bibliographic record

VenueJournal of Forensic Nursing · 2016
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineReferralSexual abusePoison controlSuicide preventionPsychiatryFamily medicineSexual assaultChild abuseMedical emergencyInjury prevention

Abstract

fetched live from OpenAlex

In circumstances in which child sexual abuse/assault is suspected, pediatric guidelines recommend referral to services such as multidisciplinary hospital-based violence treatment centers, for specialized medical treatment, forensic documentation, and counseling. As little is known about how such services are perceived, the objective of this case report was to measure the satisfaction of nonoffending guardians of child sexual abuse/assault victims who presented for care at Ontario's hospital-based sexual assault treatment centers. Of the 1,136 individuals who reported sexual abuse/assault and were enrolled in a province-wide service evaluation, 58 were 11 years old and younger. Thirty-three guardians completed a survey. Ratings of care were overwhelmingly positive, with 97% of respondents indicating that they would recommend these services. Nonetheless, it is important to evaluate these pediatric sexual assault services frequently to ensure ongoing optimal, family-centered care.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.742
Threshold uncertainty score0.506

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.014
GPT teacher head0.322
Teacher spread0.308 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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