Bibliographic record
Abstract
Celebrating 40 years of the World Heritage Convention, the proceedings of the Closing Event of the Celebration of the 40th Anniversary of the World Heritage Convention, has been published. This electronic publication provides the vivid record of the three-day landmark event, which was organized jointly by the Government of Japan and UNESCO World Heritage Centre, in Kyoto, Japan, 6-8 November 2012. During the Closing Event, challenges the Convention faced in its early years as well as today's key issues in the World Heritage community, were discussed. Keynote speaker Christina Cameron, Canada Research Chair at the University of Montreal, presented the history and the development of the Convention from the years prior to its adaption to this date, noting its many successes while pointing out recent trends that threaten its credibility. UNESCO Goodwill Ambassador Genshitu Sen, in his commemorative speech, offered a message on the need to share cultural traditions to cultivate peace and mutual respect. Five themes discussed in panel discussions were: how World Heritage community dealt with challenges in its early years; sustainable development and World Heritage; disaster prevention, recovery from disaster with communities; capacity-building and communication, and; engaging the civil society and public and private partnerships. The production of the publication was financed by the Japan Funds-in-Trust.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.030 | 0.008 |
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".