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Record W2770450944 · doi:10.2147/jmdh.s148075

The promise of an interactive, online curriculum in improving the competence of those working in healthcare settings to address sexual assault

2017· article· en· W2770450944 on OpenAlex
Janice Du Mont, Daisy Kosa, Sheila Macdonald, Robín Masón

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Multidisciplinary Healthcare · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsOntario HIV Treatment NetworkWomen's College HospitalUniversity of Toronto
FundersGovernment of Ontario
KeywordsCurriculumSexual assaultCompetence (human resources)Health careMedical educationSexual violenceMedicineNursingPsychologyPoison controlSuicide preventionPedagogyMedical emergencySocial psychologyPolitical science

Abstract

fetched live from OpenAlex

Janice Du Mont,1,2 Daisy Kosa,3 Sheila Macdonald,3 Robin Mason1,21Women’s College Research Institute, Women’s College Hospital, 2Dalla Lana School of Public Health, University of Toronto, 3Ontario Network of Sexual Assault/Domestic Violence Treatment Centres, Toronto, ON, CanadaHealthcare providers and trainees often lack the requisite knowledge and skills to address sexual violence in the clinical setting.1–3 To address this gap, we developed and evaluated an innovative and evidence-informed online curriculum designed to improve the competence of those working in healthcare settings to respond to the needs of women who present with past histories of sexual assault.

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)0.004
metaresearch head score (Gemma)0.002
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 score0.253
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.067
GPT teacher head0.431
Teacher spread0.364 · 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