BALANCE BETWEEN SOCIO-ENVIRONMENTAL RESPONSIBILITY AND BUSINESS ECONOMIC EFFICIENCY
Bibliographic record
Abstract
The article aims to present the discussions about sustainability and corporate social responsibility. Such concepts are no longer a trend and are in continuous process of construction, even if the discussions on the subject have gained more proportion in the last decades. It is possible to relate them to the financial results of organizations. And in fact, these concepts are not static, but rather require an ongoing process of redefinition, which now involves a vision of long-term corporate strategy. Organizations have been pushed to change the way they are committed not only to the environmental issue, but especially to how committed they are to society. In this way, corporate social responsibility has grown and is one of the organizations’ priorities. It is considered that these organizations face a new risk scenario, which demands the adoption of a socially and environmentally responsible position, converging towards economic efficiency. Thus, the present analysis was based on bibliographic references using the hypothetical deductive method.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".