Cultural Issues in Trade Agreements: multiculturalism, liberalism and the
Bibliographic record
Abstract
The development of an appropriate regime for trade, investment and the movement of creative and professional workers in the cultural industries will be among the issues for negotiation at the WTO in 2002 and beyond. One proposal calls for a New Instrument on Cultural Diversity (NICD), an international agreement outside the WTO. Cultural diversity at the international level is akin to a domestic policy of multiculturalism adopted by some countries. We examine the rationale and enforcement of multicultural policies within Canada, a country that historically has been committed to biculturalism, English and French, and to the concerns of aboriginal cultures. The Canadian multicultural budget is insignificant in comparison to government expenditure encouraging better communication and understanding among the two established cultures and multiculturalism has had almost no effect on the complex of regulatory, tax, and subsidy policies supporting the Canadian cultural industries. The Canadian case illustrates that a modern democracy is unlikely to support multicultural policies that do more than recognize and integrate immigrant cultures into the polity. An international trade agreement cannot impose by force the cultural preferences of a majority, as a country can opt out of the agreement. There is more diversity, both of a good and bad
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.021 | 0.074 |
| Scholarly communication | 0.019 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 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".