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Record W4412044108 · doi:10.1038/s40494-025-01770-3

Construction of architectural heritage corridors in the Hubei section of the Tea Road

2025· article· en· W4412044108 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenpj Heritage Science · 2025
Typearticle
Languageen
FieldEngineering
TopicUrban Design and Spatial Analysis
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSection (typography)Architectural engineeringGeographyTransport engineeringCivil engineeringEngineeringBusinessAdvertising

Abstract

fetched live from OpenAlex

Abstract The “Tea Road” is a significant trans-regional cultural route of China. However, it was abandoned due to urbanization, resulting in a decline in settlements and building deterioration. This paper introduces heritage corridors for architectural conservation, establishing a resource evaluation and grading system using the Analytic Hierarchy Process. Space Syntax theory is used to analyze the spatial structure of the road network at the provincial scale and within six major distribution areas to assess optimal efficiency of corridor configuration. A method is developed to evaluate heritage nodes, lines, and clusters and construct multi-scale corridors with high integration, strong sustainability, and well-integrated functions. The OD cost matrix and Service Area analysis are used to validate the feasibility of corridor routes. This study provides information to nominate the Tea Road as a World Heritage site, new approaches for the holistic preservation of architectural heritage, and new methods for constructing heritage corridors.

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.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.666
Threshold uncertainty score0.185

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
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 head0.005
GPT teacher head0.197
Teacher spread0.192 · 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