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
Japan is still a predominantly monolingual nation with very little concern for the well-being and education of bilingual Japanese or the non-Japanese speaking population living in the country. In this paper, I will discuss the problem of a bilingual's identity from the point of view of linguistic proficiency, using the results of several studies conducted on Japanese. Personal Experience I went to the United States at the age of seven, moved to Canada at the age of nine, and finally returned to Japan at the age of thirteen. At the time, there were no ESL or bilingual programs in New York, nor was there a Japanese weekend school. When I returned to Japan, the word kikokushijo (returnee) had not yet been invented. When I first went to New York, I understood no English, and when I returned to Japan six years later, I had forgotten most of my Japanese. I could hardly even write my name in hiragana--let alone in kanji. In the United States and Canada, I did two and a half years of second grade, a half year of third grade, skipped fifth grade; and, back in Japan, I had to do second-year junior high school twice (not much else you could do when you were ranked number one from the bottom, with a one-in-a-hundred chance of getting into senior high school).
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 | 0.000 | 0.000 |
| 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