Bibliographic record
Abstract
Multiculturalism is "the practice of giving importance to all cultures in a society" (Oxford Dictionary).According to this quotation, people from various countries exist together in multicultural society and accept various cultures and values of each other's countries.Also, in recent years, people think it is important to understand various cultures in an increasingly globalized world.The United States and Canada are typical examples of multicultural countries; however, these are just the most wellknown examples among many multicultural countries in the world.Australia is also one of the most successful multicultural countries.According to Australian Bureau of Statistics, currently, about 30 percent of the population in Australia were born in foreign countries (Migration, Australia).British people are the largest group of overseas-born living in Australia.Originally, Australia has built a deeper connection with England, so British people account for the highest rate of the total; however, the rate dropped from about a million recorded between 2012 and 2016.Following England, China was 2.7 percent, and India was 60
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| 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".