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PASSPORT TO SAFETY—FROM CANADA TO AUSTRALIA

2012· article· en· W2107158462 on OpenAlexaboutno aff
Marie‐Christine Brotherton

Bibliographic record

VenueInjury Prevention · 2012
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational safety and healthCompensation (psychology)Work (physics)Human factors and ergonomicsPsychologyMedical educationPoison controlMedicineEngineeringSocial psychologyEnvironmental health

Abstract

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Background South Australian workers compensation data shows that young workers are 1.5 times more likely to be injured in the workplace and that more than 70 percent of injuries happen in the first year of employment. There is currently no minimum standard for teaching Workplace Health and Safety (WHS) in SA. Canadian development of the Passport to Safety programme focussing on WHS education provided the impetus for a multi-partner working group to be established in SA in September 2004. Aims/Objectives/Purpose Young workers learn about their rights and responsibilities around WHS before entering the workplace for the first time and see and hear stories from their peers. There is a minimum standard of WHS training for students about to undertake work experience and/or work placement. Methods Teachers and students took part in pre and post programme surveys regarding their WHS knowledge and a number of focus groups discussed how young people want to receive WHS information. Results/Outcome Students who took part in the survey had an average increase in knowledge of 22 percent, with Teachers averaging a 19 percent increase. Workers compensation data indicates a reduction in young worker claims from 6044 in 2005/2006 to 4268 in 2009/2010. Significance/Contribution to the Field Young workers are the political leaders, business owners and managers of the future by educating and engaging them in workplace safety we can create a generational change.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.998

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)0.0050.003

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 head0.119
GPT teacher head0.518
Teacher spread0.399 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2012
Admission routes1
Has abstractyes

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