Bibliographic record
Abstract
Я присоединяюсь к благодарности коллег за приглашение, за столь высокую трибуну. И искренне благодарна, конечно, и это честь для нас — присутствие афганских друзей в Москве. Пакистан и Афганистан имеют много общего за последние 40 лет с точки зрения силового захвата власти. Исламабад приветствовал возврат афганских талибов в августе 2021 года, возлагая большие надежды на установление давно ожидаемых дружественных отношений. Представители генералитета Пакистана одними из первых приехали с визитом в Кабул. Представлялось, что это был один из переломных периодов в пакистано-афганских отношениях. I want to thank you for participation. I want to thank our guests from Afghanistan for coming to Moscow. Pakistan, and Afghanistan have a lot in common in the nearest 40 years in terms of seizure of power. Islamabad welcomed the return of Talibs in 2021. And it relied on the anticipated friendly relations, as the representatives of generals of Pakistan were one of the first to come to Kabul, and it was one of the crucial moments in Pakistani-Afghani relations.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.004 |
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".