Modern Approaches to the Integrated Assessment of Personnel Risks of an Industrial Enterprise
Bibliographic record
Abstract
The aim of the work is the theoretical justification of the appropriateness of the integration assessment of personnel risks in order to ensure the personnel security of the organization and the development of methodological and practical recommendations for working with personnel. The current economic conditions of an industrial enterprise are inextricably connected with the impact of environmental threats on the work of personnel, which, on the one hand, is a source of risk generation and development, and on the other hand, is an object of risk exposure, which can affect the results of work. The definition of personnel risk and the types of its manifestations excite many scientists and practitioners, but now in Russia, scientific research in this area is still limited and requires further study. There is an objective need for systematic research and a comprehensive solution of theoretical, methodological, and applied problems of personnel risk management in working with personnel of industrial enterprises. The author conducted a study of the conceptual apparatus and approaches to classification, which allowed using his own approach to risk classification when assessing them based on well-known approaches of integration assessments of personnel work risk. The object of the study was the personnel of the Russian aviation industry enterprise, where, based on the scales and questionnaires developed by the author, experts from among employees were interviewed. The subjects of the study were the following: laws, principles, methods, processes, and organizational and managerial relations regarding personnel risk management in the personnel management system of the enterprise. The implementation of the goal identified the need to solve the following tasks:analysis of the opinions of Russian and foreign scientists on understanding the nature of personnel risks in working with enterprise personnel;identification of the socio-economic content of personnel risks, types, and factors of them;development of the conceptual framework for managing personnel risks in working with enterprise personnel;conducting a comparative analysis of methodological approaches to identifying and assessing personnel risks in working with enterprise personnel;conducting a comparative analysis of methodological approaches to managing personnel risks in working with the organization’s personnel.Based on the studies, the author assessed the level of risk of personnel work in practice, which allowed concluding that it is advisable to develop a new risk management system for the personnel of a high-tech enterprise.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.010 | 0.003 |
| Science and technology studies | 0.002 | 0.012 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".