Dall'eccezione alla diversità culturale: ministoria di una sfida per l'Europa
Bibliographic record
Abstract
From «cultural exception» to «cultural diversity»: since thirty years the confrontation on cultural hegemony is one of the main topic dividing Europe from the US, and the usual battlefields are UNESCO and the WTO. Europe cannot accept the American cultural industry as its model, because the European Union is based on «cultural diversity» as the precondition for its political and economic integration. In the battle for «Cultural diversity Treaty» within UNESCO, Europe and Canada have been able to build an alliance with the South of the world, leaving alone the US: but the aims of the members of such coalition were not the same, as, along with the protection of cultural identities, the relevance of the Convention in fostering «intercultural dialogue» was gaining ground. The diverging expectations raised within regions, countries and vested interests now arise when the Treaty has to enter into force. The endeavour of its implementation in the countries daily life will be triple for the European Union, where also a European identity has to be build, besides the global and the national one. European integration is recognized as a laboratory, that could go beyond «forced integration» and «multiculturalism as the addition of separate communities». The future could bring us «dynamic and integrative cultural identities»: European cinema and TV are already gone far away along this path.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".