The convergence of the concepts of academic and inclusive excellence at research universities
Bibliographic record
Abstract
Introduction. In the 21st century, there is an active involvement of universities in inclusive processes; however, against the backdrop of increasing diversity, new types of inequality arise in higher education. The processes of transformation of organisational cultures in universities and their research agenda under the influence of inclusion need to be studied. The aimof the present research was to analyse the convergence of concepts of academic and inclusive excellence in foreign universities of the world level, the impact of convergence on their missions, the values expressed in official strategies, the research agenda and the infrastructure of scientific collaborations. Methodology and research methods. The authors conducted a content analysis of three strategies of world-class University associations (the Association of American Colleges and Universities, the Association of Universities in Canada, the League of European Research Universities), nine strategies for the development of universities in the USA and Canada, the European Union, and Australia. A scientometric analysis of Web of Science metadata was performed using the VOSViewer software. Results and scientific novelty. The current research confirms the convergence of values of academic excellence and inclusion in research universities. It is revealed that the concept of inclusive excellence of the university is an enriched version of its academic excellence and denotes a set of university strategies and practices aimed at achieving the best results in training, research and services through maintaining diversity and inclusive processes. The world's leading universities are actively involved in the process of creating an inclusive friendly environment and services, which are accessible to all members of the educational process, regardless of their social status and development characteristics. When universities reach academic heights, they recognise inclusion as the next level of their development. In turn, inclusion becomes a factor in the movement of the university towards academic excellence. The key characteristics and contradictions of the convergence of the concepts of inclusive and academic excellence of universities are identified. The local models of inclusive excellence of universities and the contexts, which influence these models, are described. The gaps between educational policies and research agendas of leading universities are revealed. The clusters of international studies on inclusive processes in higher education are highlighted. Practical significance. Russian universities, which implement the federal programme for improvement of international competitiveness based on the values of academic excellence, are developing in accordance with global trends. Therefore, the model of inclusive excellence of the university can be used in practical terms to implement inclusive strategies and overcome social inequality both at the university and outside of it within the framework of a new educational initiative of Russia on academic leadership.
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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 | 0.033 | 0.055 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.012 | 0.011 |
| Science and technology studies | 0.005 | 0.030 |
| Scholarly communication | 0.023 | 0.014 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".