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Record W2942554513 · doi:10.4018/ijsvr.2019010101

The Joker on the Couch

2019· article· en· W2942554513 on OpenAlexaff
Joel West

Bibliographic record

VenueInternational Journal of Semiotics and Visual Rhetoric · 2019
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychopathyMental illnessJokePsychologyComicsCharacter (mathematics)Psychiatric diagnosisMental healthPsychiatryPsychoanalysisClinical psychologySchizophrenia (object-oriented programming)PersonalityLiteratureArt

Abstract

fetched live from OpenAlex

Do tests for various mental illnesses work? How reliable are they and how well do they capture what we call “mental illness?” Since the infamous comic book character, the Joker, has often been called a “psychopath,” and this psychopathy is, culturally, conflated with mental illness, how would a model of the Joker be diagnosed using the current standard tools for psychiatric diagnosis? The authors tested this model Joker against DSM-5, ICD-10 and the PCL-R. They then discussed the results of these tests and concluded that the Joker as captured in Alan Moore and Brian Bolland's The Killing Joke is a psychopath according to current medical and psychiatric models. They also discussed issues with the models of mental illness used by these tests.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.370
Threshold uncertainty score0.324

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.349
Teacher spread0.329 · 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 teacher head, 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

Citations2
Published2019
Admission routes1
Has abstractyes

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