Meaning-Making Process of Ethnicity: A Case of Japanese Mixed Heritage Youth
Bibliographic record
Abstract
This article aims to provide a better understanding of Japanese Mixed Heritage Youth’s (JMHY) relationship to heritage language and senses of ethnicity, by analyzing their daily language use as provided by 14 JMHY. All (with two exceptions) do not use Japanese at home, and some have enrolled in Japanese as a second language class at a university. The article suggests that the participants’ use of the term “half Japanese” to describe their ethnicity reveals their complex relationship with their Japanese heritage. Despite the ways JMHY differentiate themselves from Japanese people, the term indicates their recognition of a connection to Japanese heritage and the acknowledgement of the coexistence of the other half of their heritage at the same time. Engaging in making meaning of their ethnicity, JMHY show a tendency to return to roots and to rely on traditions, but it is not necessarily a one-way direction.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.026 | 0.015 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.005 |
| 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".