MétaCan
Menu
Back to cohort
Record W1484556861

Volunteers in Public Health and Emergency Management at Outdoor Music Festivals

2003· article· en· W1484556861 on OpenAlexaboutno aff
Cameron Earl, Melissa Stoneham, Michael Capra

Bibliographic record

VenueQUT ePrints (Queensland University of Technology) · 2003
Typearticle
Languageen
FieldMedicine
TopicTravel-related health issues
Canadian institutionsnot available
Fundersnot available
KeywordsProject commissioningEmergency managementPublic healthWork (physics)Quarter (Canadian coin)Music festivalMedicineEmergency departmentPublishingPublic relationsMedical emergencyNursingEngineeringPolitical scienceGeography
DOInot available

Abstract

fetched live from OpenAlex

This article will report on a study undertaken involving volunteers at an outdoor music festival in Australia. The study was designed to assess the volunteers’ knowledge and skills in emergency management. The findings are based predominantly on self-report data. Findings from the study indicated that a major proportion of the volunteers in the study expressed some level of confidence in dealing with an emergency situation within their work locations at the festival. This level of confidence was associated with volunteer training and knowledge of public health and emergency management. However, less than half of the study participants had knowledge of emergency and public health management for the festival. Furthermore, less than one quarter had knowledge of the festival’s emergency management plan. It was evident that there was a need to increase the number of volunteers with knowledge of public health and emergency management for the festival. All these findings support continued volunteer training programs to improve emergency and public health management at the festival.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.176
Threshold uncertainty score0.672

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.032
GPT teacher head0.258
Teacher spread0.226 · 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

Citations6
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueQUT ePrints (Queensland University of Technology)Same topicTravel-related health issuesFrench-language works237,207