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Record W2326861695 · doi:10.3130/aija.75.2701

A HISTRICAL STUDY ON ENLARGEMENT AND SITE PLAN OF CORPORATE TOWN, DEVELOPED BY STEEL INDUSTRY COMPANIES, IN MURORAN

2010· article· en· W2326861695 on OpenAlexaboutno aff
Satoru KAKU

Bibliographic record

VenueJournal of Architecture and Planning (Transactions of AIJ) · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban and spatial planning
Canadian institutionsnot available
Fundersnot available
KeywordsCorporationBusinessQuarter (Canadian coin)Factory (object-oriented programming)Position (finance)WelfareFinanceEconomyGeographyMarket economyEconomics

Abstract

fetched live from OpenAlex

There are two purposes of this paper. The first is a transition of expansion of corporate towns, developed by steel industry companies. Another one is site plan of welfare facilities. At development, about end of Meiji era, corporate towns took position that surround factories. Expansion period, since 1934 when established of Nippon Steel Corporation, each corporate towns becomes independent of the factory by corporate policy. It had developed basement of east area in Muroran, and influence of urban planning was a little. In each corporate town, facilities site orderly with a trunk road and daily life facilities located central of those area. The grade of company's house is high above in the sloping land. A living environment of staff district, high, dry and good view, looks like a suburbs around major cities developed by private railway company and realty company. Development of corporate town in Muroran is a base of present residential quarter and urban area.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.026
GPT teacher head0.240
Teacher spread0.214 · 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
Published2010
Admission routes1
Has abstractyes

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