Paul Martin on the G20 and China’s Hosting of the G20 Leaders’ Summit
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
[Editor’s note: This is the text of the video remarks by Paul Martin, to the V20 meeting in Hangzhou China. Paul Martin was the Prime Minister of Canada from 2003 to 2006 and the Minister of Finance from 1993 to 2002. Mr. Martin was the inaugural chair of the Finance Ministers’ G20. The embedded podcast in these remarks is an interview by Alan Alexandroff, one of the Senior Editors of Global Summitry . It was recorded on May 4 2016. Mr. Martin was one of the earliest proponents of a leaders’ level summit for the G20. Mr. Martin is also a member of the Global Advisory Board for this Journal. The Vision 20 meeting in China (March 29 to April 1) and network is to bring together scholars from various fields with think tank leaders, civil society and private sector leaders, and government leaders with the hope of generating ideas and actionable items for the long and medium term, while finding ways to initiate such processes in the short term.] First of all, allow me to congratulate you all for being in Zheda [Zhejiang University in Hangzhou China] and the work leading up …
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 | 0.000 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it