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Record W4386692511 · doi:10.4000/cjs.2079

The 1897 Commission of Inquiry on the Ashio Mining Pollution: from Laissez-Faire to the State Management of an Environmental Crisis

2023· article· en· W4386692511 on OpenAlexaff
Cyrian Pitteloud

Bibliographic record

VenueCipango - French Journal of Japanese Studies · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsNational Capital Commission
Fundersnot available
KeywordsCommissionChristian ministryGovernment (linguistics)State (computer science)Environmental pollutionNatural resourceBusinessPolitical sciencePublic administrationEconomyEnvironmental protectionLawEconomicsGeography

Abstract

fetched live from OpenAlex

The Ashio copper mine case was one of the most important ecological and social crisis of modern Japan. Due to the scale of the environmental issues and of the protest movement, in 1896, the central authorities were forced to get involved, after a decade of laissez-faire. On March 24, 1897, an Ashio pollution investigation Commission was established by the Ministry of Agriculture and Commerce, in charge of this matter. If the measures taken by the Government represented a step towards the supervision of mining activities, the initial purpose was to protect this industry. The analysis of the minutes of the Commission and of the governmental decisions tells us a great deal about how the authorities back then handled an environmental crisis, as well as what was at stake in the exploitation of a natural resource.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score0.282

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0170.012
Scholarly communication0.0070.004
Open science0.0010.004
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.073
GPT teacher head0.280
Teacher spread0.207 · 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 designNot applicable
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

Citations0
Published2023
Admission routes1
Has abstractyes

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