The Contribution of Personnel to the Overall Energy Intensity of Large Mining Enterprises
Bibliographic record
Abstract
The muscle power of a company's personnel, when compared to the total energy expenditure, corresponds to the level of engineering error, which has led to the complete rejection of this factor in practice. In this article, the general function of energy consumption by the enterprise is considered to be the sum of technological sector costs and the energy costs of personnel. Three norms of energy consumption of human labor are applied: physical, economic using macroeconomic indicators, and economic of an institutional nature. The main goal of our study is to assess the energy costs of human labor using various approaches and to test the statistical significance of the impact of the obtained results on the overall energy intensity of a given enterprise. Using the method of the Box-Wilson multifactorial experiment, a study of the influence of factors on the total consumption of energy resources was carried out. It is proven that labor costs in the energy aspect, even when measured by the physical method, have a statistically significant effect. The physical method should be recommended as the primary approach for industrial enterprises. Underestimation of the energy parameters of living labor creates the risk of irresponsible consumption and production.
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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 | 0.001 | 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".