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Record W4401894035 · doi:10.3390/buildings14092639

Courtyards and Adjacent Spaces: Analyzing 26 Cases of Second-Order Proximity in Traditional Courtyard Houses of Yazd

2024· article· en· W4401894035 on OpenAlexaff
Mina Zolfagharkhani, Ahmadreza Foruzanmehr

Bibliographic record

VenueBuildings · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicArchitecture and Cultural Influences
Canadian institutionsUniversité de Sherbrooke
FundersUniversity of New South Wales
KeywordsArchitectural engineeringOrder (exchange)GeographyComputer scienceCivil engineeringEngineeringBusiness

Abstract

fetched live from OpenAlex

Iranian traditional residential architecture is renowned for its central-courtyard houses, which are admired for their grandeur. While the courtyards and nearby spaces receive considerable artistic and historical appreciation, those situated further away often receive less attention. These areas are typically considered auxiliary and less functional for living, thereby receiving limited attention in architectural discussions. This study examines 26 traditional central-courtyard houses to investigate how spaces located farther from the courtyard (‘second-order’) compare to those directly adjacent (‘first-order’). It challenges the assumption that distance from the courtyard correlates with reduced functionality. Surprisingly, the analysis identifies similar architectural characteristics in both second-order and first-order spaces, suggesting that distant areas may serve functional roles comparable to those nearer the courtyard.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0020.003
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.047
GPT teacher head0.253
Teacher spread0.206 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations3
Published2024
Admission routes1
Has abstractyes

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