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Record W4405198088 · doi:10.1386/eapc_00136_1

The Confucian knight-errant: A traditional Chinese masculine ideal in the wuxia film

2024· article· en· W4405198088 on OpenAlexaff

Bibliographic record

VenueEast Asian Journal of Popular Culture · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPhilosophy, Sociology, Political Theory
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsKnightIdeal (ethics)AestheticsMasculinityArtPsychologyPhilosophySociologyGender studiesEpistemologyPhysics

Abstract

fetched live from OpenAlex

While wuxia film criticism has extensively examined the macho-masculine archetype in the kung fu subgenre, there is a noticeable oversight regarding another vital type of masculinity: the scholar-type or Confucian knight-errant. Despite its divergence from the rugged gunfighter in Hollywood action genres such as the western, Confucian masculinity as a timeless ideal across Chinese genres also finds appreciation within the wuxia genre – a genre known for its dynamic action and a world akin to westerns’ supposedly merciless Social Darwinist frontier. Through a comparative lens on the iconic figure of the American cowboy, this article first identifies some crucial features of gender discourse in Chinese traditional culture through an interpretation of the two paradigms of complementary opposites – the yin/yang dichotomy and the wen/wu (‘cultural/military attainments’) dyad. Then, it explains how this traditional Chinese cultural ideal aligns with the wuxia genre’s thematic requirements, with a detailed analysis of two celluloid epitomes of the Confucian knight-errant in wuxia epics: Xiao Shaozi in King Hu’s Longmen kezhan ( Dragon Gate Inn ) (1967) and Chen Jialuo in Ann Hui’s Shujian enchou lu ( The Romance of Book and Sword ) (1987).

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.954
Threshold uncertainty score0.514

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.034
GPT teacher head0.326
Teacher spread0.292 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations1
Published2024
Admission routes1
Has abstractyes

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