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Record W2800462940 · doi:10.1080/24725838.2018.1439419

Development and Test of a Short Message on Manual Materials Handling Hazards and Controls in Small and Micro Businesses

2018· article· en· W2800462940 on OpenAlexaff
Amin Yazdani, Binh Ngo, Grace Schwenk, Ben Sawicki, Phil Bigelow, Jack P. Callaghan, Niki Carlan, Irene Lambraki, Richard Wells

Bibliographic record

VenueIISE Transactions on Occupational Ergonomics and Human Factors · 2018
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsMcMaster UniversityUniversity of WaterlooConestoga College
Fundersnot available
KeywordsToolboxIntervention (counseling)HazardIdentification (biology)Hazard analysisOccupational safety and healthRisk analysis (engineering)Operations managementMedicineComputer scienceEngineeringNursing

Abstract

fetched live from OpenAlex

OCCUPATIONAL APPLICATIONS Small and micro businesses generally face challenges during occupational health and safety processes such as hazard identification and control, often more so for hazards related to musculoskeletal disorders. ‘Store it off the Floor’, a message based on mitigating a major risk factor for development of low back pain, was well received by owners and managers in 40 small businesses. Conceptual and instrumental knowledge utilization was demonstrated following the distribution of a dual-purpose poster/toolbox talk handout containing the noted message. Such an approach has the potential to reduce a major hazard for developing or aggravating low back pain in large numbers of workers. This dissemination method may also be applicable to reduce other risk factors for musculoskeletal disorders and improve working conditions.TECHNICAL ABSTRACT Background: To reduce the substantial burden of low back pain, there is a need to identify workplace hazards, evaluate them, prioritize tasks for intervention, and develop and implement appropriate controls. Small and micro businesses often face challenges during hazard identification and control processes, particularly for hazards related to Musculoskeletal Disorders (MSD). Purpose: To determine the efficacy of a simple message (‘Store it off the Floor’) to facilitate knowledge increase, which is the first step towards mitigating a major risk factor for development of low back pain. Methods: Surveys along with probing questions were employed in a cross-sectional qualitative study design with a single follow-up time point. Knowledge utilization was evaluated following distribution of a dual-purpose toolbox talk handout/poster in 40 small businesses. Results: The message was well received by the small business owners and managers, and conceptual and instrumental knowledge utilization was demonstrated. Overall, 37% of participants indicated that they were already aware of the issue, while 63% responded that after reviewing the poster, their method of thinking about lifting changed. A substantial proportion of participants (32%) spoke to somebody about potential changes. A subset (28%) of businesses described some form of use, while six businesses (15%) stated that they had already made changes. Conclusions: This approach has the potential to increase knowledge and its utilization about a major lifting hazard and the selection of controls other than lift training. The dissemination method used here may also be applicable to reduce other risk factors for musculoskeletal disorders and improve working conditions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.022
metaresearch head score (Gemma)0.052
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.052
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.024
GPT teacher head0.289
Teacher spread0.265 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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".

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Citations3
Published2018
Admission routes1
Has abstractyes

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