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Record W2589190714 · doi:10.3130/aija.72.221_2

STUDY ON THE URBAN SPATIAL FORMATION AND TRANSFORMATION OF AMUSEMENT QUARTER "SHINTENCHI" IN MODERN HIROSHIMA

2007· article· en· W2589190714 on OpenAlexaboutno aff
Asami TAGAYA, Toshimasa SUGIMOTO

Bibliographic record

VenueJournal of Architecture and Planning (Transactions of AIJ) · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban and spatial planning
Canadian institutionsnot available
Fundersnot available
KeywordsAmusementQuarter (Canadian coin)AllotmentTheme parkMeiji periodGeographyHistoryCartographyArchaeologyTourism

Abstract

fetched live from OpenAlex

Shintenchi district as an amusement quarter has begun in the middle of Meiji Era as "Kanshouba", a commercial promoting zone, and developed in Taishou Era into the representative urban amusement quarter in Hiroshima. The district was located behind the main traffic street of the castle town Hiroshima in Edo Era and mainly composed with the lots for Samurai residences. The joint-stock corporation Shintenchi co. has collected a lot of complicated lots and designed a modern amusement quarter with three big theaters and many shops integrated through subtle lane-network. This paper has reconstructed three stages of allotment of this district, and discussed how the allotment formed since Edo Era were transformed and utilized into the modern space for the urban amusement, which was inherited as one of the central commercial and amusement district in Hiroshima after WWII.

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)0.000
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 score0.087
Threshold uncertainty score0.174

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
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 head0.015
GPT teacher head0.233
Teacher spread0.219 · 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

Citations2
Published2007
Admission routes1
Has abstractyes

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