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Record W2086890710 · doi:10.2190/ns.23.4.e

The Discipline of Ergonomics in Cuba within the Occupational Health Framework: Background and Trends

2014· article· en· W2086890710 on OpenAlexaff
Yaniel Torres, Yordán Rodríguez, Silvio Viña

Bibliographic record

VenueNEW SOLUTIONS A Journal of Environmental and Occupational Health Policy · 2014
Typearticle
Languageen
FieldEngineering
TopicErgonomics and Human Factors
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsHuman factors and ergonomicsOccupational safety and healthGovernment (linguistics)Engineering ethicsEngineeringSet (abstract data type)Poison controlPolitical scienceEnvironmental healthMedicineComputer scienceLaw

Abstract

fetched live from OpenAlex

The concept of ergonomics was introduced in Cuba at the beginning of the 1970s. More than 40 years later, the prevailing approach to workers' health is still generally reactive rather than proactive, despite the commitment of the government to the subject. A factor influencing this issue is, generally, lack of recognition of the benefits of establishing ergonomic principles within most occupational activities. Recent progress to move occupational health practice toward a more preventive approach has been conducted, frequently with international support. The introduction of a set of Cuban standards proposing the necessity of ergonomic evaluations is an example of this progress. The main challenge for Cuban ergonomists is to transfer knowledge to occupational health practitioners in order to be in concordance with basic standards and regulations regarding ergonomics. The article offers a short description of the history of ergonomics and an overview of ergonomics practice in Cuba.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.891
Threshold uncertainty score0.343

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.036
GPT teacher head0.318
Teacher spread0.282 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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