Activities of Non-governmental Organisations in the Context of Achieving the UN Sustainable Development Goals: a Bibliometric Analysis
Bibliographic record
Abstract
The topic of sustainable development is becoming increasingly popular in academic circles.Many scientists are studying the corporate social responsibility of business, as well as the role of higher education institutions in achieving the Sustainable Development Goals (SDGs).Non-governmental organizations (NGOs) are also important stakeholders and drivers of sustainable development, and their role cannot be overestimated.Purpose.The purpose of this study is to analyze the activities of non-governmental organizations in the context of the achievement of the UN Sustainable Development Goals, through a bibliometric analysis of the most recent scientific publications in the scientometric database Scopus, in order to evaluate the number of publications, identify the main authors, main thematic areas, keywords and geographical distribution of research, as well as to identify the main challenges and perspectives related to the participation of NGOs in the achievement of the SDGs.Results.An analysis of scholarly publications related to the role of NGOs in achieving the UN Sustainable Development Goals was conducted.The study found a significant increase in publications, particularly in countries such as the US, UK, Canada and Australia.It also identified the main thematic areas of research, including partnerships for sustainable development, responsible consumption and production, and quality education.The results of the study confirmed the relevance and importance of NGO participation in global sustainable development efforts.Conclusions.The main findings of the study on the role of NGOs in achieving the SDGs are summarized in detail.The authors emphasize the importance of involving NGOs in the implementation of the SDGs, noting that these organizations act as essential intermediaries between state structures and communities.The findings point to the need to improve the coordination and effectiveness of NGO activities, and the importance of further strengthening policies to support NGOs in their work to achieve the SDGs.Recommendations focus on improving the interaction between NGOs and governments, and the need for further research to understand the contribution of NGOs to achieving the global sustainable development goals.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
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 | 0.011 | 0.055 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.195 | 0.275 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".