La sauvegarde du patrimoine culturel immatériel selon la Convention de l´UNESCO de 2003: une évaluation critique
Bibliographic record
Abstract
Can UNESCO, the United Nations Education, Scientific, and Cultural Organization, help local cultural traditions around the world survive and even flourish in the face of globalization? No one really knows, but with a new International Convention for the Safeguarding of the Intangible Cultural Heritage it may be better equipped to do so. At the biennial meeting of its General Conference in Paris on 17 October 2003 some 120 member nations voted for the multilateral treaty. No one voted against it; only a handful of nations abstained�Australia, Canada, Great Britain, Switzerland, and the United States among them. For the convention to now become international law it needs to be ratified by 30 states parties. This article considers the nature of intangible cultural heritage, the approach, consequences, problems and possibilities suggested by the new Convention
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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 | 0.082 | 0.105 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.010 | 0.035 |
| Scholarly communication | 0.036 | 0.018 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.007 | 0.012 |
| Insufficient payload (model declined to judge) | 0.004 | 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".