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Record W2149856120 · doi:10.5539/ass.v7n2p194

Peaceful National Qualities and Unique Martial Spirit—Comparatively Exploring the Aesthetic Psychology on War in the Heroic Epic Lifeng of Dai People

2011· article· en· W2149856120 on OpenAlexvenueno aff
Wenxian Xia

Bibliographic record

VenueAsian Social Science · 2011
Typearticle
Languageen
FieldPsychology
TopicLeadership, Courage, and Heroism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPrideCourageCivilizationInterpretation (philosophy)Context (archaeology)Cultural psychologyNational SpiritNationalityEthnic groupLiteraturePoetryAestheticsHistorySociologyPsychologySocial psychologyPolitical scienceArtLawAnthropologyPhilosophy

Abstract

fetched live from OpenAlex

How does a writer of a nation describe or evaluate wars in the field of literature to show the unique cultural psychology and spiritual temperament of the nation? In the context of the communication and integration of the world literature, the interpretation of the heroic epics of the Chinese minorities can be helpful to identify the unique value of varieties of national literature and contributes a lot for us to better understand the rich Chinese multi-ethnic literary world. Comparing Lifeng, the representative of the heroic epics of Dai nationality, with Iliad, the ancient Greek epic poem, I can find that the Dai people has the unique cultural psychology of advocating strength, taking pride of courage, denying the plundering, and longing for a peaceful life. Her martial spirit with no smell of blood was born from the integration of frequent fights and the agricultural civilization in history.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.006
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.248
GPT teacher head0.395
Teacher spread0.146 · 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 designQualitative
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
Published2011
Admission routes1
Has abstractyes

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