Who is the samurai musher? Jujiro Wada
Bibliographic record
Abstract
At the turn of the 20th century, stories circulated about the life and times of Jujiro Wada in Alaska as well as western Canada. Jujiro Wada came to Alaska from Japan as a young man in 1892 and spent the next 50 years on whaling ships, exploring the country, and pursuing elusive dreams seeking. Newspaper accounts track him not only in Alaska and the Yukon, but also mushing in the Northwest Territories; Jujiro Wada was also knowledgeable about the Russian Far East. Several books and numerous romanticized articles (in both English and Japanese) and movies have been made about him, but his actual feats are hard to distinguish from the romantic accounts of the journalists, authors and movie directors. Jujiro Wada was present at the founding of Fairbanks, carried word of the Fairbanks gold strike to Dawson City and almost became the first Fairbanksan lynched by the resultant mob of angry, unsuccessful gold seekers. This short, wiry man ran competitive, long-distance, 50-mile marathon races in Nome (1907) and Fairbanks. He mushed long distances to Herschel Island and the MacKenzie River Delta. He pioneered the trails now known as the Yukon Quest (1903) and the Iditarod Trail (1909). He sought financing for Alaska mining schemes from many people including the Louisiana Tabasco sauce McIlhenney family. He died impoverished in 1937 in San Diego. This article attempts to sort the "thin" facts from fiction of the Wada story, especially as it relates to early Nome, Seward and Fairbanks. Also discussed will be the upcoming live Alaska presentation of Wada's life "The Samurai Musher" by the song and dance of the Jujiro Wada Memorial Association of Ehime, Japan, in the Spring of 2015 at the Alaska Performing Arts Center in Anchorage, Alaska on May 1, 2015.
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How this classification was reachedexpand
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".