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Record W1988722191 · doi:10.1108/09653561311301989

Impacts of temporary housing on housing reconstruction after the Bam earthquake

2013· article· en· W1988722191 on OpenAlexaff
Mojtaba Rafieian, Ali Asgary

Bibliographic record

VenueDisaster Prevention and Management An International Journal · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicDisaster Management and Resilience
Canadian institutionsYork University
Fundersnot available
KeywordsGovernment (linguistics)OriginalityQuality (philosophy)PopulationPublic housingBusinessCivil engineeringEnvironmental planningGeographyForensic engineeringSocioeconomicsEngineeringEconomicsSociologyDemographySocial science

Abstract

fetched live from OpenAlex

Purpose – This study aims to examine the impacts of temporary housing on housing reconstruction after disasters using data collected after the December 2003 Bam earthquake. Design/methodology/approach – A questionnaire was developed and completed by 281 disaster-impacted households living in small and large campsites and on site of damaged properties provided by government and non-government agencies. Cross tabulation analyses were carried out to analyze the data. Findings – Results of this study show that the type of temporary housing (campsite and on property site) that had been provided to the victims has impacted the speed, quality and the overall satisfaction of the housing reconstruction. Practical implications – Provision of on-site temporary housing to disaster impacted population where possible could speed up a higher quality and more satisfactory housing reconstruction. Originality/value – This paper provides original research evidences for the relationship between type of temporary housing and housing reconstruction.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.912
Threshold uncertainty score0.857

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.301
Teacher spread0.284 · 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

Citations23
Published2013
Admission routes1
Has abstractyes

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