The Passing CCKs in Japan: Analysis on Families of Cross-Border Marriages between Japanese and Brazilian
Bibliographic record
Abstract
Since an amendment to the Immigration Control Act in 1990, which granted 2nd and 3rd generation Japanese unlimited visa status to work in Japan, there has been a noticeable increase in the number of Brazilians of Japanese descent coming to Japan. As a result, there is a large number of couples comprising Japanese and Japanese-Brazilian in Japan. In this paper, I investigated the conditions involving Cross-Culture Kids (CCK) born of these marriages. The children’s first language is Japanese, and an overwhelming number of parents want their children to learn English as a second language rather than Portuguese. Regarding the children’s name, there were few cases in which the child used a Brazilian name. In Japanese society, which emphases uniformity and homogeneity, using a Japanese name is one method of resolving the issue of being different from others. Parents with children who are not immediately recognizable as CCKs based on characteristics of outward appearance have developed strategies for avoiding discrimination and prejudice through passing. However, passing offers little possibility of enjoying the advantages of multicultural society. CCKs with two nationalities and cultural backgrounds should be guaranteed the right to enjoy the benefit of maintaining and developing an identity as a Japanese, in addition to one more identity. We need to encourage a new awareness of CCKs as agents for a transition from a monocultural system to a multicultural system, not only in Japanese schools, but in Japanese society as a whole.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".