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Record W1490899686 · doi:10.7202/1024708ar

Déclassement et transformation de la structure de classes au Japon de 1945 à 2013

2014· article· fr· W1490899686 on OpenAlexaffvenue
Bernard Bernier

Bibliographic record

VenueDiversité urbaine · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Le Japon avant la Seconde Guerre mondiale avait une distribution des revenus très inégalitaires, signe de différences de classes importantes. Après la défaite de 1945, l’écart dans les revenus s’est dissipé laissant la place à une pyramide des revenus relativement plate. Cette situation a donné lieu à une vision du Japon comme société sans classe, étant constitué d’une immense classe moyenne. Cependant, les inégalités ont considérablement augmenté après le début de la crise financière en 1990, quand les grandes entreprises ont effectué des mises à pied et ont limité de façon draconienne l’embauche de jeunes salariés à la sortie des écoles et de l’université. Le chômage et la pauvreté ont augmenté. Le Japon de 2013 se retrouve donc avec des inégalités de classes qui s’approchent de celles de l’avant-guerre.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.200
Threshold uncertainty score0.397

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.011
GPT teacher head0.257
Teacher spread0.246 · 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

Citations0
Published2014
Admission routes2
Has abstractyes

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