Development of A Study Module on and Pedagogical Approaches to Industrial Environmental Engineering and Sustainability in Mozambique
Bibliographic record
Abstract
Addressing the sustainability challenges in the forest sector in Mozambique require capacity building for higher education and training of new skilled expert and future decision-makers. Our approach was to developed a study module on and pedagogical approaches to industrial environmental engineering and sustainability. The idea was to developed a joint module that would eventually become a part of both PhD and MSc programmes in the Eduardo Mondlane University (UEM) in Mozambique. The basis of our development work encompassed the local priorities as identified by the UEM staff, UEM competencies in forestry engineering and the experience of the Aalto University in higher education in the fields of environmental engineering, sustainability and forest products technology. From the beginning, public authorities and industry/company representatives were involved in the development process to advance the created benefits in terms of sustainable development in Mozambique. The result of the joined work by these two higher education institutions was a study module that has been teached and completed by a class of MSc students as a part of the official UEM curricula.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".