A glance at research-driven university's technology transfer office in the UAE
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Technology transfer offices (TTOs) in research-driven universities serve as an intermediary between suppliers of innovations and those who can potentially commercialise them. In the United Arab Emirates (UAE), TTOs are expected to take an important role in the evolution of successful spin-off companies from innovation to production to sales to sustainable profit. TTOs aim to help businesses to innovate and prosper leading to improving local and national economic prosperity. TTOs often support spin-off companies becoming a learning organisation and easing into an articulated management of activities complementary to the research and development activities that create the innovation and drive the transition from innovation to product lines. This paper aims to investigate the current situation of research-driven university's TTO in UAE using a case study of Etisalat BT Innovation Center at Khalifa University and Masdar Institute for university policy implications. The findings suggest that TTOs assist university researchers in many ways.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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 it