Corporate Social Responsibility Management
Bibliographic record
Abstract
This article considers current trends and features of the development of corporate social responsibility in Russia in the current crisis, the reasons for the lack of organizations activity in the social responsibility field. The article also determines the impact of the company's social policy on the formation of labour motivation and loyalty of company employees, a positive image of the company for both personnel and the environment. Social responsibility is relevant for all types and sizes of organizations, but it has received the greatest development in large public and the private business community. Russian companies are actively involved in this process. The number of such companies is increasing from year to year. Small and medium-sized businesses are gradually connecting to them. And in the current crisis, corporations and large companies are in an environment where charity projects are actually a “matter of honour" for the company. The problem urgency of corporate social responsibility is due to modern requirements for companies presented by society and the authorities to conduct socially responsible business. In turn, this approach to doing business ensures the sustainable development of companies and leads to the creation of a favourable investment and reputation image.
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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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".