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Record W1974439148 · doi:10.1017/s0026749x04001234

Mental Health as Public Peace: Kaneko Junji and the Promotion of Psychiatry in Modern Japan

2004· article· en· W1974439148 on OpenAlexaff
Janice Matsumura

Bibliographic record

VenueModern Asian Studies · 2004
Typearticle
Languageen
FieldPsychology
TopicHistorical Psychiatry and Medical Practices
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsCommitMentally illLegislationPsychiatryPromotion (chess)Mental healthPublic healthPsychologyCriminologyPolitical scienceMedicineLawMental illnessNursing

Abstract

fetched live from OpenAlex

On June 8, 2001, Takuma Mamoru, a former psychiatric patient, broke into the Ikeda Elementary School in Osaka City and killed eight schoolchildren. This incident, which journalists have described as the Ikeda Massacre, resurrected public concerns about the mentally ill. The Osaka District Court declared that psychiatric evaluations had revealed that Takuma was sane enough to recognise the criminal nature of his actions. Discussion among the public and officials nevertheless remained focussed on the question of how to handle suspects in criminal cases who are not fit to stand trial as a result of psychiatric disorders. In August 2003, the same month that Takuma was sentenced to death, the National Diet passed legislation that could compel defendants, even those found innocent, to enter or regularly visit a mental hospital if judges and psychiatrists deemed them mentally ill and possessing a propensity to commit crimes.

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.990
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.011
Scholarly communication0.0050.004
Open science0.0000.004
Research integrity0.0020.003
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 head0.048
GPT teacher head0.371
Teacher spread0.322 · 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.

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

Citations7
Published2004
Admission routes1
Has abstractyes

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