Exploring Types of Spatial Configuration of Buildings in Mountain Cities (The Dwellings of Old Akre City as a Model)
Bibliographic record
Abstract
Different types of dwellings are shaped by the interaction between human needs and the surrounding environment, creating a wide range of complex structures reflecting different lifestyles and environmental conditions.this research aimed to explore different spatial configurations in traditional mountain dwellings, especially in the case of the old city of Akre using 3D space syntax methodology to analyze the planning scheme of 15 dwellings.The emphasis is to trace out the underlying structures, describe the spatial configurations, and bring to sight the functions and interrelations of living spaces.A lens that captures the essence of these places is the one that the research uses to probe how the topography highly impacts their floor plan and arrangement, such that many dwellings have various entrance levels as an adaptive measure to the city's topography.Ultimately, the study explores three types of planning schemes within these mountain dwellings: shallow, tree, and ring.However, the ring configuration, being the most common, serves as a testament to the topographical challenges faced by the old city of Akre.This research highlights the relationship between architectural design and natural landscapes, improving our understanding of spatial dynamics in traditional mountain dwellings.It sheds light on the architectural heritage diversity of the old city and its adaptability.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".