SUSTAINABLE COLLABORATION IN HIGHER EDUCATION: THE CASE OF THE CAPE PENINSULA UNIVERSITY OF TECHNOLOGY (SOUTH AFRICA) AND FONTYS UNIVERSITY (NETHERLANDS)
Bibliographic record
Abstract
This paper is centred around the partnership between the Cape Peninsula University of Technology (CPUT) and Fontys University of Applied Sciences. Research indicates that a crucial dimension of international orientation is the internationalisation of education. Internationalisation is an instrument to improve the quality of education or research, it helps to prepare students for a professional career, which is increasingly international as a result of the global knowledge economy and teaches competencies with a wide application range (Beck, 1998). An increasingly internationalised economy, will require larger and larger pools of welltrained, multilingual, internally knowledgeable employees. (Excerpt, Policy on Internationalisation at a Canadian university) International higher education has also been affected because of the globalisation of our societies and economies. Increasing competition for international students and international programmes is one of the consequences. The changing economic position of countries like India and China in the world is also a factor. For the cooperation between CPUT and Fontys we are working for a sustainable collaboration with certain basic principles in mind. The questions “why” and “what” are used as a guide in the partnership instead of just looking for additional exchanges, more mobility programmes. The focus is rather on quality and not quantity. We are offering a best practice in collaboration on different academic levels between higher education in Europe and Africa, especially the Netherlands and South Africa.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".