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Record W1938253822 · doi:10.7202/1025817ar

Stigmatisation de la jeunesse japonaise par le discours et les représentations de la délinquance juvénile (1997-2010)

2014· article· fr· W1938253822 on OpenAlexaffvenue
Akané D’Orangeville

Bibliographic record

VenueAnthropologie et Sociétés · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

À la suite de certains grands meurtres commis en 1997 et 2000 par des jeunes de 14 et 17 ans, un discours sur les délinquants juvéniles comme étant plus violents, plus cruels, plus anormaux et plus nombreux que jamais auparavant s’installait chez les intellectuels et dans les médias japonais. Or, par dérapage analytique, ce discours a été généralisé à tous les jeunes, qui ont été considérés comme étant des individus violents, incompréhensibles, anormaux et potentiellement criminels malgré une certaine normalité apparente, faisant d’eux des dangers pour la nation. Cette étude présente le développement du discours stigmatisant la jeunesse des années 2000, en présentant les concepts clés qui ont été utilisés comme caractéristiques ainsi que comme arguments de la monstruosité cachée chez les jeunes Japonais.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score0.182

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0020.001
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.118
GPT teacher head0.552
Teacher spread0.434 · 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 designQualitative
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

Citations2
Published2014
Admission routes2
Has abstractyes

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