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Record W576111181 · doi:10.4200/jjhg.63.6_507

Local Development in the Higashi Osaka Industrial District

2011· article· en· W576111181 on OpenAlexaff
David W. Edgington, Kenkichi Nagao

Bibliographic record

VenueJapanese Journal of Human Geography · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Socioeconomic Reforms and Governance
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMetropolitan areaVariety (cybernetics)Competition (biology)Industrial districtBusinessLocal economic developmentIndustrial policyProduction (economics)Face (sociological concept)Economic growthEconomic geographyEconomicsEconomyGeographyInternational tradeSociology

Abstract

fetched live from OpenAlex

In this paper we address changes in the Higashi Osaka industrial district, part of metropolitan Osaka, western Japan. Higashi Osaka is distinctive due to its very high density of factories and its wide variety of consumer and industrial products. After clarifying the city’s manufacturing structure, history and spatial development, we explain the contemporary challenges facing industrial development. Along with slower economic growth in Japan commencing during the 1990s, Higashi Osaka has experienced declines in production output, employment and the number of establishments. Recent problems include competition with lower-cost East Asian countries as well as stricter regulations on local industries due to their incompatibility with nearby residential uses. To illustrate these general trends we undertook a limited number of in-depth interviews with four firms that produce industrial bolts, screws and associated machinery. The results indicate that these firms have responded by a variety of business policies, including working more closely with their customers and producing innovative machinery. This suggests that it is unlikely that Higashi Osaka will face terminal decline in the foreseeable future as these firms have upgraded their production and associated activities rather than abandoning the district. The paper concludes by illustrating how public policy has played a role in supporting new technologies and innovative small firms in this industrial district.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score0.406

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.046
GPT teacher head0.273
Teacher spread0.226 · 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

Citations3
Published2011
Admission routes1
Has abstractyes

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