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Record W4411160839 · doi:10.54254/2753-7064/2024.23620

Sekai-kei and Genjitsu-touhi: Long Shadow of the Lost Decade

2025· article· en· W4411160839 on OpenAlexaff
Yihang Cai

Bibliographic record

VenueCommunications in Humanities Research · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsOakville-Trafalgar Memorial Hospital
Fundersnot available
KeywordsShadow (psychology)HistoryEconomicsKeynesian economicsPsychologyPsychoanalysis

Abstract

fetched live from OpenAlex

When the reality is undesirable, one dimension to which the public can respond depends on whether the reality can be changed. When such change is possible, one tends to be more active, extroverted, and rebellious. When otherwise, one tends to be more passive, introverted, and fearsome. Countercultures that took form from such reactions to reality would inherit such quality, evident in how queer culture tends to possess the quality of the former. In contrast, the otaku culture has the latter. As a culture of indulgence and fear of reality, a phenomenon of genjitsu-touhi is evident in the works of related industries after this period, which is a vicious cycle involving lucid reflection and blinded indulgence that points toward death. Sekai-kei anime follow the same step as genjitsu-touhi, as they provide an exaggerated and unrealistic commendation of otakus personal matter by tying it to affect the life and death of the entire world an externalization of narcissism. Some of these works, however, strive for a therapeutic purpose in addition by demonstrating the change, challenge, and growth of equally defective main characters that were previously used to provide narcissistic indulgence, though the efficacy of such therapy is hard to evaluate.

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)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0090.012
Scholarly communication0.0060.009
Open science0.0010.007
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.231
GPT teacher head0.458
Teacher spread0.227 · 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
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

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueCommunications in Humanities ResearchSame topicJapanese History and CultureFrench-language works237,207