Bibliographic record
Abstract
A vital component of any type of organization for the prevention of incidental events and/or voluntary attacks against people and tangible and intangible assets as well as for their protection when incidental events and/or voluntary attacks happen is represented by safety and security management. Because of the incessant development of new dangers and threats, safety and security management requests unceasing updating, by means of powerful and flexible tools, such as BIM, which must be integrated via a multidisciplinary approach, considering also economic features that must optimized from the cost/benefit point of view. Integrated technological systems represent efficient tools to create solutions than can support safety and security management in a competent manner, considering also budgets optimization. For this reason, it is necessary to utilize a wide-range approach which, thanks to its flexibility, allows for the realization of an integrated multidisciplinary model for safety and security management (IMMSSM) which can be supported by a suitable Integrated Technological System Framework (ITSF), even based on Internet of Everything (IoE). To achieve an operative IMMSSM, it is necessary to optimize the available tools from the cost/benefit point of view. This goal represents a difficult challenge because, in general, restricted funds are available. From this point of view, efficient and flexible tools, such as BIM, represent vital elements to obtain solutions characterized by an optimal cost/benefit ratio. The purpose of this paper is to illustrate the role of BIM for safety and security management, showing its peculiar features from this point of view and its versatility both for the realization of resourceful IMMSSM and related ITSF, even based on IoE.
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 | 0.000 | 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".