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Record W1552898635 · doi:10.1055/s-0038-1633963

Health Promotion in the Workplace – The Merging of the Paradigms

2005· article· en· W1552898635 on OpenAlexafffundabout
Annalee Yassi

Bibliographic record

VenueMethods of Information in Medicine · 2005
Typearticle
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsHealth promotionWorkplace health promotionOccupational health nursingWorkforceOccupational safety and healthPublic relationsPromotion (chess)MedicineHealth careNursingLegislationPsychological interventionHealth policyPublic healthPolitical science

Abstract

fetched live from OpenAlex

PURPOSE: To synthesize the lessons from both occupational health and health promotion, to improve workplace health. APPROACH: This article briefly outlines the evolution in defining and understanding health promotion as well as current thinking in occupational health and safety. It also discusses an approach taken in the healthcare sector in British Columbia, Canada, where evidence-based practices and collaboration became the cornerstones to bringing about change and achieve impressive cost-beneficial results in healthcare workforce health. CONCLUSION: Traditionally, workplace health promotion and occupational health and safety have been two solitudes. Workplace health promotion is rooted in "wellness" and healthy lifestyle choices, while occupational health is heavily dictated by workplace health and safety requirements and legislation. Recently however, there has been increasing recognition of the need for a more holistic approach that focusses on workplace culture, addressing both primary and secondary prevention [1], as well as interventions aimed both at the individual as well as the organisation [2].

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)0.023
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.003
Science and technology studies0.0040.037
Scholarly communication0.0210.019
Open science0.0020.011
Research integrity0.0090.011
Insufficient payload (model declined to judge)0.0020.001

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 head0.054
GPT teacher head0.481
Teacher spread0.427 · 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 designTheoretical or conceptual
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

Citations19
Published2005
Admission routes3
Has abstractyes

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