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Record W2182501175 · doi:10.1017/s1481803500015852

Emergency medicine health advocacy: foundations for training and practice

2003· article· en· W2182501175 on OpenAlexaffabout
Glen Bandıera

Bibliographic record

VenueCanadian Journal of Emergency Medicine · 2003
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMandateCurriculumMedicinePublic healthEmergency departmentPublic relationsTraining (meteorology)Medical educationNursingPolitical sciencePsychologyPedagogy

Abstract

fetched live from OpenAlex

Emergency physicians (EPs) are uniquely positioned to act as health advocates for individual patients, emergency department (ED) patient populations and the Canadian public. However, most ED practice environments do not encourage health advocacy, and staff EPs often do not feel adequately prepared to address many health-determinant issues. The mandate to provide health advocacy training to emergency medicine residents must be addressed in light of these challenges. This report defines the role of EPs as health advocates and summarizes the advantages and disadvantages of the ED as a forum for advocacy. At the University of Toronto, we have developed a new curriculum using evidence-based ED initiatives, examples of Canadian EP advocacy, and a description of organizations involved in advocacy, and we have incorporated several principles of adult learning to increase learner investment, maximize relevancy for EPs and optimize retention into practice. Residents believe the curriculum is highly relevant, allowing them to recognize advocacy opportunities in their own practices.

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)0.006
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.869
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.000

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 head0.308
GPT teacher head0.516
Teacher spread0.208 · 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 designNot applicable
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

Citations13
Published2003
Admission routes2
Has abstractyes

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