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Record W4296989014 · doi:10.7202/1092427ar

The Kingdom’s Shōnen Heart

2022· article· en· W4296989014 on OpenAlexvenueno aff
Rachael Hutchinson

Bibliographic record

VenueLoading · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsCharacter (mathematics)FantasyAdventureEscapismContext (archaeology)LiteratureArtFandomAestheticsSociologyPsychologyHistoryArt historySocial psychologyMathematics

Abstract

fetched live from OpenAlex

Taken by themselves, neither Disney nor Square Enix appears particularly successful at transcultural expression, although both are certainly marketing juggernauts in transmedia franchise operations (Smoodin, 1994; Consalvo, 2013). Disney may be understood in terms of American postwar cultural imperialism, while Square Enix is deeply rooted in conventions of Japanese storytelling. But together, somehow the two achieve a synergy in Kingdom Hearts (2002), coalescing in the figure of Sora, its youthful protagonist. This article performs a close reading of Sora’s visual character design, a transcultural melding of Walt Disney’s own Mickey Mouse and the shōnen figure of earlier Nomura Tetsuya creations. While gameplay dynamics point to a new action-adventure style for Square Enix, the shōnen characteristics of Sora’s appearance combine with his sense of loss and yearning to position the game in the JRPG genre. Transculturality of the non-player characters (NPCs) in Kingdom Hearts is then considered. These character designs remain static, anchored to their original reference texts. Where the Disney characters fit their settings in an uncomplicated way, providing escapism and nostalgia for the player, Square characters seem to be chosen for their complexity. The use of then-recent Final Fantasy X characters Tidus and Wakka in Destiny Islands is contrasted against the use of darker, brooding characters from older Final Fantasy titles encountered later in the game. Just as loss and yearning define Sora’s shōnen character, the sense of loss manifested by Cloud, Aerith and Leon connect the player to the real-world context of the global late 1990s, speaking to Japanese anxiety following the Hanshin earthquake and Aum Shinrikyo attacks of 1995, and to the despair of ‘Generation X’ following Kurt Cobain’s death in 1994 (Funabashi and Kushner, 2015; Brabazon, 2005). Meanwhile, the deep economic recession of Japan’s ‘lost decade’ (1991-2001) connected perfectly to the post-9/11 unease in America at the time of the game’s release. Overall, I argue that the game’s success stems from its transcultural emphasis on loss and yearning, which fit not only the JRPG genre but also the sense of anxiety pervading both Japan and America at the time.

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 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 score0.748
Threshold uncertainty score0.996

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 studies0.0050.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.030
GPT teacher head0.289
Teacher spread0.258 · 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.

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
Published2022
Admission routes1
Has abstractyes

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