CONSIDERATIONS ON MODULAR MEASURES IN THE LAYOUT OF COURTYARD SETTLEMENT QUARTERS OF PATAN CITY : A study on the planning modules of Kathmandu Valley towns (Part II)
Bibliographic record
Abstract
This paper analyses the settlement quarters of Buddhist communities of Patan of Kathmandu Valley utilizing the cadastral survey map of the city made by Department of Land Survey, HMG of Nepal. The case studies include four settlement quarters characterized by dwelling clusters arranged around the large residential quadrangles with Buddhist monastery courts. The study finds that the quarters are planned in the quarter block scale and follow a grid system whose dimensions are found to confirm with a system of measure described in the Arthasastra of Kautilya who lived in 4th century BC, and was the prime minister of Chandragupta Maurya. The analysis reveals the employment of a particular form of open quadrangle as the central feature emphasized by axes and the monastery court at the core, and a standard quarter block that results from this manner of layout planning. The paper, thus, discovers a layout pattern of settlement quarters that may be identified as one of the planning principles of Buddhist community settlements of Patan.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".