The black eyes of Bruce Lee : From Normative to Descriptive & Prescriptive Multiculturalism
Bibliographic record
Abstract
Multiculturalism or cultural pluralism is a policy, ideal, or reality that emphasizes the unique characteristics of different cultures in the world, especially as they relate to one another in immigrant receiving nations. The word was first used in 1957 to describe Switzerland but first came into common currency in Canada in the late 1960s2. It quickly spread to other English- speaking and western developed countries.Although There is no clear link between the multiculturalism and the term that so called Balkanization, But this research tries to present the similar possibility of Multiculturalism discourse and Balkanization as a geopolitical term. In fact this research believes that balkanization is The same idea of multiculturalism in practice, when it comes to the idea of state. On the other hand Vijay Parshad in his book Everybody was Kung Fu fighting says that "I am interested in “how an investigation of kung fu can help us move from a limited multicultural framework into an antiracist, polycultural one.” This is the research and video that has been made about Bruce lee statue in Mostar, the divided city in Bosnia and Herzegovina", as a method of working in hyper- politicized society.
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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 | 0.009 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.010 | 0.033 |
| Scholarly communication | 0.013 | 0.014 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".