Разделение труда - разделение ответственности?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Marina Larionova, Dr of Political Science, Head of International Organisations Research Institute (IORI) of the State University - Higher School of Economics, Head of International Programmes at the National Training Foundation; E-mail: mlarionova@hse.ruMark Rakhmangulov, Deputy Director of the Informational-Analytical G8 Research Centre of the International Organisations Research Institute (IORI) of the State University - Higher School of Economics; E-mail: MRakhmangulov@hse.ru The paper presents analysis of the G8 Muskoka and G20 Toronto summits. It looks into the main documents agreed and decisions made by the leaders. The authors consider the trend for division of labor on priorities and global governance functions between the two institutions, and the risks it contains. The analysis highlights that the G8 members so far bear the dual responsibility for commitments made in both the G8 and G20 summits. The G8 members have also delegated significant volume of the direction setting and decision making functions to the G20. It can be assumed that the Seoul summit will change the trend. However the paper concludes that if the Muskoka-Toronto summitry distribution of functions is maintained and consolidated, and the G20 compliance record remains low, the G8-G20 partnership for global governance will be neither sustainable nor effective.
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.
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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.065 | 0.013 |
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 it