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Record W4404296850 · doi:10.29173/cjen432

Injury documentation: Using the BALD STEP Mnemonic and the RCMP Sexual Assault Kit

2011· article· en· W4404296850 on OpenAlexvenueaboutno aff
Cathy Carter-Snell

Bibliographic record

VenueCanadian Journal of Emergency Nursing · 2011
Typearticle
Languageen
FieldMedicine
TopicInjury Epidemiology and Prevention
Canadian institutionsnot available
Fundersnot available
KeywordsDocumentationMnemonicSexual assaultMedicineMedical emergencyPsychologyPoison controlSuicide preventionComputer scienceOperating system

Abstract

fetched live from OpenAlex

Injury assessment, nomenclature and documentation vary widely across emergency departments. The Royal Canadian Mounted Police (RCMP) has forensic laboratories across Canada and performs the majority of testing of evidence for Canadian victims of sexual assault outside of Ontario or Quebec. Most emergency nurses are familiar with the large box the RCMP officers bring for the documentation and collection of evidence after sexual assault. Fewer are familiar with the inner contents of the kit or documentation. The sexual assault kit and documentation are now undergoing change, with a new kit soon to be released. The RCMP forensic laboratories identified the need for kit changes due to equipment updates and research related to quality and best practices. Some health care professionals across the country and representatives of Making a Difference Canada were consulted for suggestions on documentation and kit contents. Mount Royal University’s Forensic Research Network (www.mtroyal.ca/forensicresearch) will be developing free educational materials on the kits and use of contents in preparation for the release of the new kits (hoped to be late 2011, but not yet determined). In the meantime, the focus of this article is to introduce emergency nurses to a few key changes in documentation and evidence collection they may anticipate. The largest of these changes is the adoption of a mnemonic phrase to aid in standardization of injury documentation and assessment known as BALD STEP.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.352
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0010.000

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 head0.070
GPT teacher head0.358
Teacher spread0.288 · 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

Citations5
Published2011
Admission routes2
Has abstractyes

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