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Record W2332495594 · doi:10.3130/aija.78.847

MODIFICATION OF EXTERNAL DESIGN OF HOUSES TO DESIGN CONTROL BY NOTO PENINSULA EARTHQUAKE

2013· article· en· W2332495594 on OpenAlexaff
Takeshi Oyanagi, Mitsuhiko Kawakami

Bibliographic record

VenueJournal of Architecture and Planning (Transactions of AIJ) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicEarthquake and Disaster Impact Studies
Canadian institutionsCybernet Systems Corporation (Canada)
Fundersnot available
KeywordsPeninsulaSeismologyGeologyForensic engineeringEngineeringGeographyArchaeology

Abstract

fetched live from OpenAlex

This paper studies a central district around Sojiji-tenple in Wajima City, Ishikawa Prefecture, where was stricken by the Noto Peninsula Earthquake, through comparative analysis of external design change of houses located within the district between before and after the Earthquake and also analyzes inhabitants' consciousness on the townscape after the reconstruction. As a result, the actual conditions of townscape by reconstruction activities and effectiveness of townscape control rules are clarified. The study also finds the following points: 1) the post-quake townscape of the overall district was enhanced compared with the pre-quake one, due to the improved external designs of the houses, 2) reconstruction supporting system emphasizing conservation of townscape and pre-quake efforts on the townscape design effectively functioned toward enhancing the townscape and 3) consciousness among the district residents has been heightened toward preserving the post-quake townscape.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.035
GPT teacher head0.296
Teacher spread0.261 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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