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Record W2586583650 · doi:10.3130/aija.69.103_1

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)

2004· article· en· W2586583650 on OpenAlexaboutno aff
Mohan Pant, Shuji FUNO

Bibliographic record

VenueJournal of Architecture and Planning (Transactions of AIJ) · 2004
Typearticle
Languageen
FieldEngineering
TopicArchitecture and Computational Design
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Human settlementSettlement (finance)BuddhismCadastreGeographyScale (ratio)Block (permutation group theory)ArchaeologyCartographyBusiness

Abstract

fetched live from OpenAlex

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.918
Threshold uncertainty score0.388

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.032
GPT teacher head0.246
Teacher spread0.214 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2004
Admission routes1
Has abstractyes

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