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Record W7029399190

Investigation and analysis of damage to buildings during the 2003 Bam earthquake

2004· article· en· W7029399190 on OpenAlexvenueno aff

Bibliographic record

VenueNPARC · 2004
Typearticle
Languageen
FieldEngineering
TopicSeismic Performance and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMasonryAdobeVulnerability assessmentReinforced concreteVulnerability (computing)Earthquake resistanceStatistical analysis
DOInot available

Abstract

fetched live from OpenAlex

A brief statistical assessment of the seismic vulnerability of buildings in Iran is carried out. Based on the results, Iran is concluded to be one of the most vulnerable countries in the world to earthquake. A post-earthquake building damage survey was performed in Bam city, Iran, after the catastrophic earthquake of Dec 26 2003. Subsequently, studies were carried out on the building damage data collected. Based on the results, adobe and masonry buildings, which are the major types of structure in Bam city, were found to have suffered the highest level of damage. Reinforced concrete buildings infilled with masonry walls and masonry buildings with reinforced concrete ties, however, were structures with very low levels of damage. 624 buildings were evaluated using the European Macroseismic Scale (EMS). The results show that the low earthquake resistance of buildings in Bam city is the main reason for the high level of damage. Furthermore, macroseismic intensities are estimated for the Bam region based on the MSK scale for vulnerability class B.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.701
Threshold uncertainty score0.186

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.007
GPT teacher head0.195
Teacher spread0.188 · 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 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

Citations6
Published2004
Admission routes1
Has abstractyes

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