Mainstreaming Global Sustainable Development Goals through the UN Global Compact: The Case of Visegrad Countries
Bibliographic record
Abstract
Since 2016, the United Nations Global Compact (UNGC), one of the most prominent worldwide corporate social responsibility and sustainability initiatives, has been linked to the Sustainable Development Goals (SDGs). However, despite the enormous scholarly interest in the UNGC since the very beginning, its impact on the integration of the SDGs into the business activities, risk management and reporting of its participants remains understudied. This paper examines support and action for the SDGs among companies from the Visegrad Four (V4) countries. It attempts to find out whether the recent UNGC efforts result in their mobilisation towards the SDGs’ implementation or merely creates a new space for instrumental adoption to improve image and reputation. The paper adopts qualitative content analysis of 42 Communications of Progress (COPs), submitted by 25 companies from the V4 in 2017–2019. The related self-assessments in the UNGC Participation Database were also used. It reveals that the companies obviously fulfil their obligation to report their activities related to SDGs but fail to provide relevant details. Moreover, divergences between the challenges faced by V4 countries and the priorities of the companies related to individual SDGs are also identified. This raises serious concerns about the UNGC’s practical effects.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".