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Record W2966099969 · doi:10.5539/jsd.v12n4p187

Capacity Building for Sustainable Development: The Experience of Developing a Professional Diploma in Energy-Efficient Buildings

2019· article· en· W2966099969 on OpenAlexvenueno aff
Ahmed S. Muhaisen, Omar S. Asfour, Matthias Schuß

Bibliographic record

VenueJournal of Sustainable Development · 2019
Typearticle
Languageen
FieldEngineering
TopicSustainable Building Design and Assessment
Canadian institutionsnot available
FundersIslamic University of Gaza
KeywordsEconomic shortageContext (archaeology)Sustainable developmentCapacity buildingGaza stripBusinessEfficient energy useElectricityEngineering managementEnvironmental economicsEnvironmental planningEconomic growthPolitical scienceEngineeringEconomicsEnvironmental science

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.450
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.245
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2019
Admission routes1
Has abstractyes

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