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Record W2052526247 · doi:10.1002/nvsm.322

Enhancing occupational health and safety in young workers: the role of social marketing

2007· article· en· W2052526247 on OpenAlexaff
Anne M. Lavack, Sherry L. Magnuson, Sameer Deshpande, Debra Z. Basil, Michael D. Basil, James H. Mintz

Bibliographic record

VenueInternational Journal of Nonprofit and Voluntary Sector Marketing · 2007
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsUniversity of LethbridgeUniversity of Regina
Fundersnot available
KeywordsSocial marketingWorkplace safetyOccupational safety and healthMarketingBusinessWork (physics)Social workPublic relationsMedicinePolitical scienceEngineeringEconomic growthEconomics

Abstract

fetched live from OpenAlex

Abstract Young workers (age 15–24) suffer work‐related injury at a much higher rate than older workers, yet research on the role and effectiveness of social marketing to influence and improve workplace safety is limited. A review of the relevant literature reveals that significant gaps exist in terms of effectively using social marketing to reduce young worker injury rates. A comprehensive, multi‐faceted social marketing approach is required to address young worker safety. Directing more attention toward the practice of social marketing can enhance the effectiveness of campaigns to reduce workplace injuries. Copyright © 2007 John Wiley & Sons, Ltd.

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)0.021
metaresearch head score (Gemma)0.002
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 score0.041
Threshold uncertainty score0.740

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.028
GPT teacher head0.400
Teacher spread0.372 · 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

Citations37
Published2007
Admission routes1
Has abstractyes

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