Industry and academia partnership for aquatic renewable energy development in Colombia: A knowledge-education transfer model from the United Kingdom to Colombia
Bibliographic record
Abstract
The need for “industry-academia knowledge transfer (IAKT)” and close collaboration in Colombia has been recognised as critical to innovation, while in the United Kingdom (UK) an IAKT model has been successfully deployed in the UK benefitting both stakeholders. As a result in Colombia, an IAKT model does not exist to guide these two key stakeholder groups. The methodology used is based on the analysis of the data collected directly from the aquatic renewable energy (ARE) industry and academia in the Orkney islands (Scotland). In addition, literature available in the public domain was used and analysed. Having this information, a knowledge-education model is proposed for the Colombian context. The IAKT model curriculum was based on ARE course topics and validated in a preliminary phase with UCC undergraduate engineering students from different disciplines. The results were very promising in terms of the skills developed by the students, not only technical but also in communication skills, teamwork, critical thinking and so on.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".