Tohoku Unbounded: Regional Identity and the Mobile Subject in Prewar Japan
Bibliographic record
Abstract
In 1870, a prominent samurai from Tōhoku sells his castle to become an agrarian colonist in Hokkaidō. Decades later, a man also from northeast Japan stows away on a boat to Canada and establishes a salmon roe business. By 1930, an investigative journalist travels to Brazil and writes a book that wins the first-ever Akutagawa Prize. In the 1940s, residents from the same area proclaim that they should lead Imperial Japan in colonizing all of Asia. Across decades and oceans, these fractured narratives seem disparate, but show how mobility is central to the history of Japan's Tōhoku region, a place often stereotyped as a site of rural stasis and traditional immobility, thereby collapsing boundaries between local, national, and global studies of Japan. This book examines how multiple mobilities converge in Japan's supposed hinterland. Drawing on research from three continents, this monograph demonstrates that Tohoku's regional identity is inextricably intertwined with Pacific migrations.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.017 | 0.015 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".