Capacity Building for Sustainable Development: The Experience of Developing a Professional Diploma in Energy-Efficient Buildings
Bibliographic record
Abstract
The implementation of energy-efficiency measures in building design is an essential strategy in the context of sustainable development; however, this requires plans for capacity building to improve the capabilities of engineers working in the construction sector. The role of higher education institutions in this context is essential. In the Gaza Strip, the issue of energy efficiency in buildings has gained increased attention on undergraduate and graduate education levels; however, there is a lack of specialised programs to address this issue based on a holistic design approach. Thus, a survey was carried out with local specialists and engineers using a workshop and questionnaire to investigate the potential of a proposed professional diploma in energy-efficient buildings. The study used a mixed qualitative and quantitative approach to examine the importance, topics and potential impact of this program in the Gaza Strip. The study concluded that such a program is essential for Gaza considering the ongoing electricity shortage and the future need for sustainable development plans. The study recommends implementation, evaluation and development of such a program in the rest of Palestinian governorates as a response to the current and future energy challenges.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.009 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".