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Record W2059362725 · doi:10.2307/2672043

Managing Decline: Japan’s Coal Industry Restructuring and Community Response

2000· article· en· W2059362725 on OpenAlexvenueno aff
Philip Shapira

Bibliographic record

VenuePacific Affairs · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsRestructuringCoalBusinessPolitical scienceGeographyArchaeologyFinance

Abstract

fetched live from OpenAlex

For many years, coal formed the backbone of Japan's economic development, but the dangers and costs of mining became increasingly expensive for the industry and government. Global changes in coal production and exchange finally prompted Japan's decision in 1986 to shut down nearly all domestic coal mines in favour of coal imports. Japan's policy for industry restructuring had been applauded as one of the most comprehensive in addressing the needs of the industry, the workers and the community. At micro-level, however, the people in the community most affected by the policy decision have been excluded from the process. This text reveals the stratified effects, as well as compensation, for the different groups in Yubari City, Hokkaido. Although the policy settlement package goes to the coal miners, community redevelopment ignores their needs, prompting them to leave the city and benefiting instead land owners and public employees. Revealed as well are the ways in which Japan's cultural values, particularly the vertical social structure as it affects decision making, status, occupations and company organization and the importance of maintaining the family system, figure in the policy process and its consequences.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.098
Threshold uncertainty score0.195

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.004
Scholarly communication0.0050.003
Open science0.0010.008
Research integrity0.0050.004
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 head0.020
GPT teacher head0.267
Teacher spread0.247 · 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

Citations8
Published2000
Admission routes1
Has abstractyes

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