“Europe Year Zero: from Gated memories to Intercultural Reconciliation”
Bibliographic record
Abstract
A conference promoted by the Istituto Italiano di Cultura, Toronto, in collaboration with: the European Union Centre of Excellence (EUCE) at the Centre for European, Russian and Eurasian Studies, university of Toronto; the University of Bologna; the Canadian Centre for German and European Studies at York Univesity, and with the supporto of EUNIC in Canada.\nThe themes of memory studies and the problem of identity were addressed by invited speakers: Prof. Julia Creet, Prof. Shelley Hornstein; Prof. Andreas Ktzmann, Dr Elena Lamberti, Prof Claudio Magris.\nin a time of global migrations after 20th century wars, how does cultural memory strenghten or undermine social and political coehesion. The points of departure for this discussion were two books: "Memories and Reprsentations of War: The Case of World War I and World War II" ( E. Lamberti, V. Fortunati, eds, New York/Aserdam, Rodopoi 2009) and "Memory and Migration - Mutidisciplinary Approaches to Memory Studies" /J Creet, A. Kitmann eds, Toronto, University of toronto Press, 2010). Both collections of essays explore the complex cultural identity/ies of the peoples of Canada and the European Union member states and the bonds between the two political entities thrugh individual, institutional and artistic expressions of cultural memory.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.028 |
| Scholarly communication | 0.020 | 0.014 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".