Características De Salud Y Seguridad En Trabajadores De Una Empresa Automotriz
Bibliographic record
Abstract
Introducción: El lugar de trabajo es más que el espacio donde lostrabajadores prestan sus servicios, por lo tanto, las condiciones de estoslugares pueden afectar de manera significativa el desempeño y laproductividad de los empleados. Objetivo: Describir las características desalud y seguridad presentes en los trabajadores de una empresa automotriz dela ciudad de Querétaro, a través de un mapeo de riesgos utilizando el métodoFINE. Metodología. Estudio transversal, descriptivo, realizado en unaempresa de giro automotriz implementando un mapa de riesgo, siguiendo elmétodo FINE. Se consideraron trabajadores de sexo indistinto, con antigüedadmínima de 6 meses, de las áreas de mantenimiento y reparación, que aceptaranparticipar en el estudio y firmaran el consentimiento informado. El proyectofue evaluado y registrado ante un Comité de Investigación y Bioética. Elanálisis de los datos se realizó mediante estadística descriptiva. Se cuidaronlos principios éticos de la investigación en humanos. Resultados: La zonaevaluada consta de un total de 42 individuos, siendo de ellos en su mayoríahombres, con un 71% (30), rango de 18 a 59 años de edad. La estática posturaldespunta con un 71% (30) de los trabajadores. Se encontró la presencia de unriesgo moderado y grave. Conclusión:Resulta relevante abordar a lostrabajadores desde un aspecto personal y familiar, puesto que estos factoresresultan de importancia debido a que pueden potencializar la fuentegeneradora de un daño a la salud por causa de los diversos riesgos existentesen los lugares de trabajo. Introduction: The workplace is something else than just a space where workers provide their services. Therefore, conditions prevailing in these places may significantly affect employee performance and productivity. Objective: To describe health and safety features prevailing in the workers of an automotive company in Queretaro City by mapping risks, using the FINE method. Methodology. Transversal, descriptive survey applied at an automotive branch company implementing a risk map, following the FINE method. It will cover indistinct gender workers with a minimum of 6-month seniority from the maintenance and repair areas, who shall accept to take part in the study and sign an informed consent. The project was evaluated and registered with the Research and Bioethics Committee. Data analysis was made by descriptive statistics. The ethical principles of research on humans were taken into account. Results: The evaluate zone has a total of 42 individuals, mostly men, with a 71% (30), range of 18 to 59 years of age. Static posture deploys with 71% (30) of the workers. The presence of moderate and severe risks has been found. Conclusion: Addressing workers from a personal and family perspective is relevant; these factors are important as they may strengthen a health damage-producing source caused by several risks existing at work places.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| Insufficient payload (model declined to judge) | 0.001 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".