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Record W4240887176 · doi:10.1177/1746847706068899

Platonic Sex: Perversion and Shôjo Anime (Part Two)

2007· article· en· W4240887176 on OpenAlexaff
Thomas Lamarre

Bibliographic record

VenueAnimation · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsMcGill University
Fundersnot available
KeywordsAnimeMateriality (auditing)PerversionMonsterVirtuality (gaming)ArtAnimationEvocationAestheticsPsychoanalytic theoryArt historyLiteraturePsychoanalysisPsychologyPhilosophyComputer science

Abstract

fetched live from OpenAlex

Carrying on from part one published in the July 2006 issue of animation: an interdisciplinary journal, part two continues its exploration of the animated series Chobitswith an eye to how it reads problems of media and technology almost exclusively in terms of human desire, much as psychoanalytic theory reads technology in terms of the weird substance of enjoyment. Part two takes up an analysis of partial objects and perversion in order to show how the materiality of manga and anime as media do not entirely disappear but haunt the dynamics of sexual enjoyment. Materiality returns in an evocation of ‘full blankness’ associated with the white manga page or transparent celluloid sheet, which allows Chobits to pervert the logic of suture and the associated dynamics of the male gaze. The nonhuman woman becomes the catalyst for ways of looking that appear to bypass relations with Others altogether, promising the production of entirely new worlds at some elemental level of perception.

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)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.011
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.020
GPT teacher head0.287
Teacher spread0.266 · 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
GenreOther

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

Citations3
Published2007
Admission routes1
Has abstractyes

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