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Record W2138153355 · doi:10.7202/029538ar

Sustaining Management Commitment to Workplace Health Programs:

2009· article· en· W2138153355 on OpenAlexafffundvenue
Shane M. Dixon, Nancy Théberge, Donald C. Cole

Bibliographic record

VenueRelations industrielles · 2009
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsUniversité LavalUniversity of TorontoUniversity of Waterloo
FundersWorkplace Safety and Insurance Board
KeywordsContext (archaeology)Psychological interventionWork (physics)Observational studyBusinessOccupational safety and healthPublic relationsCitizen journalismPsychologyKnowledge managementNursingMedicineEngineeringPolitical scienceComputer science

Abstract

fetched live from OpenAlex

This article investigates management commitment to workplace health and safety through an analysis of the implementation of participatory ergonomic (PE) interventions in three worksites. The PE programs were established to address the burden of work-related musculoskeletal disorders. Drawing upon interview and observational data, the analysis examines the evolution of managerial support for PE programs over time and in the context of pressures internal and external to the worksites. Ergonomic Change Teams in all three sites experienced problems establishing authority to act as change agents and in accessing employee time to carry out their activities. Resolution of these problems was heavily contingent on the commitment of senior management, and the efforts of individual management personnel to intervene in support of the PE program. Our findings highlight that “management” is not a monolithic entity and managerial structures are often marked by divisions in priorities, including health and safety.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.869
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.110
GPT teacher head0.465
Teacher spread0.354 · 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

Citations21
Published2009
Admission routes3
Has abstractyes

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