Fire Regulations in Industrial Companies and the Level of Impact and Risk: The Case of the Municipality of Soledad, Atlántico
Bibliographic record
Abstract
The risk of fire is ubiquitous: no matter the human activity, there will always be the associated probability of fire generation. However, if started, the potential impact of fire will depend on different factors such as the activity, the materials stored, and the prevention and control measures deployed, which includes the minimum requirements of current legislation. The main objective of this research is to understand the factors that influence compliance and non-compliance with fire regulations by large companies, considering the case of the municipality of Soledad, Colombia. As part of the methodology, a descriptive statistical approach was used for the analysis, considering companies' compliance in recent years, and related these data to the level of risk and the impact that a conflagration would have on premises, people, and the environment. A Chi-Square association test was applied, and additionally, a Cramer's V test was applied to determine the magnitude of the association. The database used for the study was provided by the Volunteer Fire Department of Soledad, Colombia. They are responsible for carrying out the compliance control audits of the companies in the municipality. Among the results, compliance with the standards by most companies and a statistically significant association between impact, level of risk, and variables such as emergency brigades, fixed fire systems, among others, were observed.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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; a candidate call from one teacher head, not a consensus.
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".