Diagnóstico de salud y seguridad del trabajo en la asociación de emprendedores agropecuarios “Chilla San Antonio” de la parroquia Canchagua, cantón Saquisili, provincia de Cotopaxi, 2022.
Bibliographic record
Abstract
This project was carried out in the association of agricultural entrepreneurs "Chilla San Antonio" located in the parish of Canchagua, Canton Saquisili, Province of Cotopaxi, where the members of the association were characterized through socioeconomic indicators and occupational risk. The objective of this research was to determine the productive activities of the members of the association and to know the risks they are exposed to during their working days and to understand how the Covid 19 pandemic affected the members and their families, for which a survey with two blocks of questions was applied; in the first block the members of the association were characterized in a socioeconomic way and in the second block to determine the daily risks to which they are exposed, having the following results: The majority of members are Women and are in an average age of 41 - 50 years, engaged in agriculture, livestock and trade. 69.2% of the members of the association are regularly exposed to physical risk factors such as: heat, cold, sunlight, 92.3% of the members of the association are regularly exposed to these biological factors, such as: mosquito bites, among other indicators evaluated, in safety risks, 100% presented accidents and affections in their workplace, such as: cuts, falls, blows, etc., this has brought them musculoskeletal consequences. The indicators on the COVID-19 pandemic virus that we are currently going through, the level of exposure to this indicator is 69.2% which is at a low risk of contagion, however, some associates who passed this disease were the result of other activities to those of their daily activity. In view of these results, an improvement plan was generated to protect the health of the workers and to attend to the problems derived from the conditions of the work.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".