Le sommet de l’Organisation de coopération de Shanghai à Samarcande, ou les conséquences de l’invasion de l’Ukraine sur l’Asie centrale
Bibliographic record
Abstract
Dans un contexte de guerre en Ukraine, le 22 e sommet de l’Organisation de coopération de Shanghai (OCS) s’est tenu en septembre 2022 à Samarcande. À la faveur de cette rencontre sont apparus des signes de prise de distance de la Chine et des républiques d’Asie centrale vis-à-vis de la Russie, tandis que d’autres partenaires, Inde, Iran et Turquie notamment, se sont efforcés de profiter de ce qui ressemble à une perte d’influence de Moscou dans la région. Quelles sont les causes de cette dynamique ? Cet article analyse les discours des participants et les communiqués officiels publiés à l’issue des différentes rencontres ainsi que la couverture médiatique de cet événement.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".