Japanese “Entrepreneur” on the Fraser River: Oikawa Jinsaburo and the Illegal Immigrants of the Suian Maru
Bibliographic record
Abstract
Oikawa Jinsaburo, Japanese entrepreneur, re-located to Canada from 1896 to 1917 and engaged in business enterprises, utopian communities on the Fraser River (Sunbury, Lion Island, Don Island), and immigration ventures. This thesis introduces Oikawa through an English summary of Nitta Jiro’s historical novel, Mikkôsen Suian Maru, and presents historical evidence to verify, extend, and complicate this version. Substantial detail is added to the 1906 Suian Maru incident and the simplistic explanation of a deal to grant these illegal immigrants entry in exchange for a year of railway labour is problematised in the historical context of anti-Asian sentiment in British Columbia. A favourable (and unusual) confluence of several factors - the absence of pertinent immigration legislation, international obligations, official Japan’s attitudes towards emigration, the lack of public outrage, and influential personal connections - enabled Yoshie Saburo to negotiate entry on behalf of Oikawa and the Suian Maru passengers.
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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.018 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| 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, 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".