Environmentalization of Production as a Direction of Ensuring the Sustainability of Production Activities of Enterprises and Increasing Their Economic Security
Bibliographic record
Abstract
Within the article, the essence of the concept and theoretical aspects of greening production as a separate area of ensuring the sustainability of production activities of the enterprise is considered. The basic principles of ensuring the environmentalization of production have been studied, among the key ones are the principles of systematization, complexity, responsibility, scientific validity, economic balance, as well as the principle of permanent improvement. The authors also consider the main tools for production greening (utilization, recycling, biochemical, bioenergy technologies and technologies of environmental adaptation), as well as a study of the main stages of production greening. The dynamics of some indicators that characterize the trends in the prevalence of production greening among entrepreneurs in terms of the number of enterprises that implement relevant measures and those, which measures, are innovative and significant. The methodical approach of estimation of production greening with use of the methods of standardization, complex indicators and comparison is offered. A list of recommended measures for production greening by enterprises has been formed. The list of recommendatory measures of the enterprises production greening is formed, which include: development of ways to ensure the processing and reuse of industrial waste; conducting a study of the production system for the possible generation of returnable waste; introduction of measures to reduce the material consumption of products; reduction of energy consumption of equipment’s separate elements; development and implementation of technological processes that eliminate or minimize emissions and emissions of harmful substances into the environment, etc.
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 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".