From Gada Merin to Jesse James: A Comparative Study on the Image of Heroes in Mongolian Horqin Folk Songs and American Western Cowboy Songs
Bibliographic record
Abstract
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.
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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 arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | medium |
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
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".