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Record W3036322084 · doi:10.4000/cipango.3833

La Commission d’enquête sur la pollution minière d’Ashio de 1897 et ses enjeux : du laissez-faire à la prise en main étatique d’une crise environnementale

2020· article· fr· W3036322084 on OpenAlexaff
Cyrian Pitteloud

Bibliographic record

VenueCipango · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsNational Capital Commission
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

L’affaire d’Ashio constitua l’une des crises écologiques et sociales majeures du Japon moderne. À partir de 1896, les problèmes environnementaux et la contestation avaient pris une ampleur telle que les autorités centrales furent obligées de s’impliquer, après une décennie de laissez‑faire. Le 24 mars 1897 une Commission d’enquête sur la pollution minière d’Ashio fut instituée par le ministère de l’Agriculture et du Commerce, en charge du dossier. Si les mesures prises par le gouvernement représentèrent une étape dans l’encadrement des activités minières, elles avaient surtout pour but la protection de cette industrie. L’analyse des procès-verbaux de cette Commission ainsi que des décisions gouvernementales nous renseigne sur la façon dont les autorités de l’époque entendent gérer une crise environnementale, de même que sur les enjeux de l’exploitation d’une ressource naturelle.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.141
Threshold uncertainty score0.280

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.003
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.031
GPT teacher head0.275
Teacher spread0.244 · 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
Published2020
Admission routes1
Has abstractyes

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