L’Ukraine entre le passé et l’avenir. Entretien avec l’historien Andrii Portnov
Bibliographic record
Abstract
Historien ukrainien et ancien éditeur de la revue Ukraina Moderna, Andrii Portnov est directeur de l’Initiative Ukraine Berlin-Bradenburg, chercheur au Forum des Études transrégionales et professeur à l’Université Humboldt de Berlin. Dans le cadre d’une nouvelle édition du festival des idées Mode d’emploi (Lyon, 16-29 novembre 2015), Andrii Portnov a participé à deux débats : « La Russie de Vladimir Poutine » et « Dnipropetrovsk : histoire d’une ville secrète ». Dans l’entretien enregistré lors de son séjour à Lyon, Andrii Portnov observe et analyse de façon critique la situation politique de l’Ukraine, en fonction de son histoire et de sa situation actuelle.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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".