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Penokohan dan Ambisi Karakter King dalam Anime One Punch Man Karya One

2024· article· en· W4414923000 on OpenAlexfundno aff
Paisal Ansiska, Yulia Putri Paradida, Marsten Lihardo Tarigan

Bibliographic record

VenueJ-Litera Jurnal Kajian Bahasa Sastra dan Budaya Jepang · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics and Language Analysis
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsAnimeCharacter (mathematics)AnimationHEROQualitative analysis

Abstract

fetched live from OpenAlex

Anime One Punch Man is a literary work realized in the form of animation (anime). Anime is an art form created in the animation format, typically produced in Japan and characterized by the unique Japanese animation style. One of the characters in the anime One Punch Man is King, who is an S-class hero known for being very strong and respected. This research aims to uncover the ambitions of the character King in the anime series One Punch Man by One. The study takes the form of describing and understanding the characters in the anime. This research utilizes qualitative descriptive research methods. The purpose of using qualitative analysis methods in the analysis of One Punch Man characters is to gain a detailed and comprehensive understanding of the characters in the anime. The results of this research show that the character King has a large physical appearance, yellow hair, wears armor, and has three vertical scar marks on the left side of his face. King does not have grand ambitions to become a powerful hero. King's ambition is simply to strive so that the truth that he doesn't possess any superpowers remains unknown to many.

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: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0160.003

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 head0.029
GPT teacher head0.243
Teacher spread0.214 · 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
Published2024
Admission routes1
Has abstractyes

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