Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Cultural attitudes rooted in the Tokugawa-era status system (<italic>mibunsei</italic>) provided an interpretive framework for the race-based hostility Meiji-era Japanese encountered in the United States and Canada, informing the discursive strategies of Meiji diplomats who sought to refute the claims of anti-Japanese exclusionists by distinguishing Japanese labor migrants from themselves, aiding in the reproduction of Japanese as an excludable category when anti-Japanese elements turned their arguments against all Japanese. Concerns about social hierarchy and the significance of historical status categories (<italic>mibun</italic>), including cultural taboos associated with outcaste status, also mediated the responses of Meiji immigrants to conditions they encountered on both sides of the Canada-U.S. border, including white racism and job opportunities. Japanese immigrant negotiations of race and identity in the North American West can be fully understood only by also considering <italic>mibun</italic>, in addition to more the familiar paradigms of race, class, and gender, in analyzing Meiji-era Japanese immigration history.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it