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Record W2124695667 · doi:10.5539/ells.v4n4p86

From Gada Merin to Jesse James: A Comparative Study on the Image of Heroes in Mongolian Horqin Folk Songs and American Western Cowboy Songs

2014· article· en· W2124695667 on OpenAlexvenueno aff
Shuanglian Chen

Bibliographic record

VenueEnglish Language and Literature Studies · 2014
Typearticle
Languageen
FieldPsychology
TopicLeadership, Courage, and Heroism Studies
Canadian institutionsnot available
FundersInner Mongolia University for NationalitiesCollege at Brockport, State University of New YorkInner Mongolia University
KeywordsHEROFolk cultureMythologyLiteratureEthnic groupPopularityStyle (visual arts)HistoryIndividualismHonorArtSociologyAnthropologyVisual artsLawPolitical science

Abstract

fetched live from OpenAlex

Every country has a folk culture unique to that country, every ethnic group has a folk culture unique to that ethnic group. Folk songs are the core of a folk culture. The original life styles, thoughts, values of a people all find their expressions in folk songs. Hero songs make up a premier category of Horqin folk songs. The American cowboy songs present a perfect image of a hero which accords with the expectation of American myth. This paper tries to build a bridge between the two seemingly distant cultures by taking Gada Merin and Jesse James as examples to compare the image of heroes in Mongolian Horqin folk songs with that in American western cowboy songs. Both folk songs are trying to present the real stories of authentic people. The characters in both songs are courageous, bold and wise; but they both seem to come to bad ends in the similar ways. The tragic fate of Gada Merin and the bad reputation of Jesse James do not interfere with their popularity among people. But the dissimilarities are more obvious. The different historical and cultural backgrounds create different kinds of heroes. Horqin heroes, with particular political goals, are better organized and better educated. Horqin heroes more cherish collective honor while American cowboy heroes more indulge in individualism and heroism.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativelow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativemedium
models agreeAgreement compares identical category sets and study designs across arms.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.008
Threshold uncertainty score0.888

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.026
GPT teacher head0.340
Teacher spread0.315 · 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

Labeled directly by 2 models reading the full record.

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

Citations1
Published2014
Admission routes1
Has abstractyes

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