Bibliographic record
Abstract
L’invasion de l’Ukraine par la Russie le 24 février 2022 a déclenché une guerre de haute intensité qui est l’un des conflits majeurs de l’après-guerre froide. Comment expliquer une décision aussi lourde de conséquences ? Que dit cette agression de la relation de la Russie à son ancien empire et de sa capacité à sortir d’un modèle néo-impérial ? Que dit-elle des instruments qu’elle mobilise pour façonner son environnement international ? L’objet de cet article est de tenter d’apporter des éléments de réponse à ces questionnements en explorant la place que l’Ukraine tient depuis 1991 dans son rapport au monde et en s’interrogeant sur les singularités de la question ukrainienne. Cette exploration, qui amène à mobiliser l’histoire et l’historiographie, conduit à replacer cette question dans le projet de puissance de la Russie. Elle confirme l’impact des perceptions et des représentations dans les relations internationales.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.013 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".