Council and Executive Committee Secretariat
Bibliographic record
Abstract
Since 2007, the Secretary-General completed almost 600 trips abroad (593).In 2018, 34 of his 45 visits abroad (76%) were to OECD member countries.Five were to key partner countries and six were to accession and other non-member countries:l Thirty-four trips to 22 of the 36 OECD member countries: Austria (3 visits), Belgium (1), Canada (3), Chile (1), Czech Republic (1), Germany (1), Greece (1), Ireland (1), Italy (1), Japan (1), Korea (1), Latvia (1), Lithuania (1), Mexico (4), the Netherlands (1), Poland (1), Portugal (1), Slovakia (1), Spain (3), Switzerland (2), the United Kingdom (1) and the United States (3).l Five visits to key partner countries: Brazil (1), Indonesia (1) and the People's Republic of China (3).The Chief of Staff and the Deputy Secretaries-General also visited key partner countries on a number of occasions to support the Secretary-General's activities.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".