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Record W4404829423 · doi:10.1080/23268743.2024.2418000

The hentai streaming platform wars

2024· article· en· W4404829423 on OpenAlex
Aurélie Petit

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePorn Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsComputer scienceAstrobiologyPhysics

Abstract

fetched live from OpenAlex

This article investigates the digital conflicts that occur between different Japanese pornographic animated media (here referred to as ‘hentai anime’) platforms on the anglophone internet. Drawing on the ‘hentai streaming platform wars’ metaphor to illustrate the growth of a hybrid streaming ecology of pirated and licensed animated releases, the article offers a framework to investigate what happens to animation during the platformization of porn, and to pornography during the platformization of animation. By providing a detailed history of the American hentai anime market, from its arrival through fan-distributed video networks up to its current challenges on both legal and pirate streaming platforms, the article demonstrates that the historical conflicts within the hentai streaming ecosystem do not call for tech-solutionist approaches (tracking and deplatforming content). Rather, the article will ask for the pornographic industry as a whole to revaluate how it considers animated productions during porn platformization.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.906
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.074
GPT teacher head0.407
Teacher spread0.333 · 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