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Record W3154747744 · doi:10.1016/j.cjco.2021.02.008

Mandating Training Is Not Enough: The State of Cardiopulmonary Resuscitation and Automated External Defibrillator Training in Ontario Schools

2021· article· en· W3154747744 on OpenAlexaffabout
Katherine S. Allan, Tiffany Jefkins, Emma O’Neil, Paul Dorian, Steve Lin

Bibliographic record

VenueCJC Open · 2021
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
FundersZOLL Medical Corporation
KeywordsCardiopulmonary resuscitationTraining (meteorology)Automated external defibrillatorMedical emergencyMedicineState (computer science)Medical educationResuscitationEmergency medicineComputer scienceGeographyMeteorology

Abstract

fetched live from OpenAlex

Cardiopulmonary resuscitation (CPR) and automated external defibrillator (AED) training in schools are mandated in the Ontario high school curriculum. We surveyed schools to understand the scope of this training, including its barriers and facilitators. We recruited 120 (58.5%) elementary, 25 (12.2%) middle, and 60 (29.3%) high schools. Almost 60% (120 of 200) provided staff with CPR training, but only 56% (27 of 48) of high schools trained students. Major barriers included lack of funding, time, and trainers. Despite government-mandated curriculum, only 56% of high schools offer CPR and AED training. More research is needed to understand the barriers to implementing this lifesaving training.

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)0.001
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 score0.727
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.043
GPT teacher head0.311
Teacher spread0.269 · 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

Citations10
Published2021
Admission routes2
Has abstractyes

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