Energy efficiency features of vernacular house in Bosnia and Herzegovina: A case study of Svrzo’s house complex
Bibliographic record
Abstract
This paper analyzed sustainable principles of vernacular architecture in Bosnia and Herzegovina featured in the Svrzo’s house complex in Sarajevo, which can serve as an example that can be utilized in contemporary architecture. An energy-efficiency analysis was performed by using DesignBuilder software. The aim was to investigate whether the building design, building’s envelope materialization, and spatial organization comply with today’s energy-efficiency standards and if such principles can be applied in contemporary design. The calculation of the energy demands for heating and cooling showed that the division of the house in winter and summer quarters is an energy-efficient approach that could be transposed into contemporary architecture. The calculations also showed that the materialization of the building envelope of the winter quarter is not energy efficient enough to be used in modern constructions, but the positive aspects of the building envelope materialization such as the use of natural, local materials with good heat capacity are important elements which could serve as guidelines for the materialization of contemporary buildings. Therefore, a new materialization was proposed on the basis of these principles. The calculations showed that the analyzed winter quarter became energy-efficient while maintaining sustainable principles borrowed from vernacular architecture.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".