MétaCan
Menu
← Back to cohort
Record W4416754627 · doi:10.1101/2025.11.24.25340928

ASSESSMENT OF COMPLIANCE TO OCCUPATIONAL HEALTH AND SAFETY SERVICES IN THE ARTISANAL SMALL-SCALE GOLD MINES OF MUMBWA DISTRICT, ZAMBIA

2025· preprint· W4416754627 on OpenAlexaff
PHILIP MUSOLE, Emmanuel M. Mulenga, PATRICIA CHILAISHA, Titus Haakonde, Chisala D. Meki, Nosiku Munyinda

Bibliographic record

VenuemedRxiv · 2025
Typepreprint
Language
FieldEngineering
TopicMining and Resource Management
Canadian institutionsOntario Ministry of Labour
Fundersnot available
KeywordsOccupational safety and healthGold miningWork (physics)Compliance (psychology)Observational studyPhysical hazardPersonal protective equipmentSafety standards

Abstract

fetched live from OpenAlex

Abstract Mercury-dependent gold mining operations expose workers to occupational health and safety hazards due to mercury’s toxicity. This study assessed occupational health and safety (OHS) services provided in mercury-based gold mines in Mumbwa District, Zambia, aiming to evaluate compliance with OHS standards and identify prevalent health hazards faced by miners. A sequential mixed-methods approach was used. Data was collected through questionnaires from 108 conveniently sampled miners, while qualitative data was gathered through in-depth interviews with safety supervisors. Observational checklists were also used in the mines. Workers were exposed to dust and particulate matter (98%), and mercury exposure (62.7%), among other hazards. Compliance with OHS standards was lacking: only 23.8% of mines complied with training standards, and 33.3% with health checks. No mines had onsite medical services. Higher compliance rates were observed for reporting systems (66.7%), first aid services (62%), and fire safety measures (66.7%). Miners in gold amalgamation processes faced mercury exposure, respiratory risks from dust, and environmental contamination. Among workers in mercury-based gold mines, satisfaction was significantly higher among those who received training (OR = 4.82, p = 0.002), had access to First Aid services (OR = 5.88, p = 0.006), and possessed greater experience (OR = 2.75, p = 0.036), while education showed a non-significant trend (OR = 1.92, p = 0.097), and neither gender (OR = 2.25, p = 0.240) nor fire safety measures (OR = 0.96, p = 0.944) were statistically associated with satisfaction. Facilitators to compliance included a safe work environment, regulations and enforcement, and management support, while barriers included financial constraints, lack of training and awareness, and resistance to change. There is an urgent need for enhanced training programs, onsite medical services, and improved worker participation through OHS committees. Comprehensive strategies are needed to improve OHS compliance and protect miners’ health in Mumbwa, District. Author Summary This study evaluates the level of compliance with occupational health and safety (OHS) protocols among artisanal small-scale gold miners in Mumbwa District, Zambia. Using a mixed-methods design, data were collected from miners to assess adherence to safety standards, availability and use of personal protective equipment, and knowledge of health hazards associated with mining activities. The findings reveal critical gaps in safety compliance, highlighting the need for improved regulatory enforcement, targeted health promotion, and safety training tailored to artisanal miners. This research provides important insights for policymakers and stakeholders to enhance OHS practices, reduce workplace injuries, and promote sustainable mining livelihoods in low-resource settings.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.079
Threshold uncertainty score0.156

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.032
GPT teacher head0.302
Teacher spread0.271 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venuemedRxiv→Same topicMining and Resource Management→French-language works237,207→