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Record W2001456201 · doi:10.5539/jsd.v3n4p171

An Analysis of Dampness Study on Heritage Building: A Case Study Ipoh Old Post Office Building and Suluh Budiman Building, UPSI, Perak, Malaysia

2010· article· en· W2001456201 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Sustainable Development · 2010
Typearticle
Languageen
FieldEngineering
TopicMasonry and Concrete Structural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsArchitectural engineeringArchitectureCivil engineeringCultural heritageEngineeringGeographyArchaeology

Abstract

fetched live from OpenAlex

Analysis of dampness covers a variety of methods for measuring moisture content in both high level and trace amounts in solids such as building element. Analysis of dampness in heritage building is very important to avoid serious damage in heritage property. One of the heritages building in Perak is Ipoh Old Post Office Building and the other heritage building in Perak is Suluh Budiman Building at UPSI. Ipoh Old Post Office Building and Suluh Budiman Building are historical buildings which show the colonial’s features and European architecture. From the site observation, a lot of defects occurred in these buildings had been identified during the investigation and some minor defects can be seen in almost every part of the building. High moisture content or dampness at heritage wall had caused almost every part of the building experienced a very serious defect and a prompt action must be taken before the increasing of cost implication. Hence, a study on moisture before conducting any conservation and repair work is needed and it is very important to help the conservator and building environmental designer to analyze and understand the exact sources of dampness’s problem correctly and effectively. The correct analysis of dampness on heritage building will produce the best method to overcome the sources and the actual dampness problem in heritage building generally.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.360
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.006
GPT teacher head0.245
Teacher spread0.238 · 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