3rd Extraordinary Session of the AU Conference of Ministers of trade: remarks by Mr. Abdoulie Janneh, UN Under-Secretary General and Executive Secretary of the ECA/ by Abdoulie Janneh.
Bibliographic record
Abstract
This remarks delivered by Mr. Abdoulie Janneh, UN Under-Secretary General and Executive Secretary of the ECA at the third Extraordinary Session of the AU Conference of Ministers of Trade. Mr. Janneh, on his remarks highlighted that, The ECA and the UN in general recognizes the Doha Round as an indispensable platform through which the marginalization of Africa in the global trade could be addressed. It is for this reason that the ECA continues to invest heavily in supporting African countries in their efforts to scale up their active engagement in the trade negotiations process in Geneva. The African Trade Policy Centre, through the generous support of the Canadian and Danish Governments continues to implement programmes and activities that support African negotiators in Geneva and Senior Officials from the Capitals. The ECA promotes it as an accepted framework through which obstacles to intra African and international trade could be addressed. That is why in our repositioning of the ECA, we treat regional integration as a key pillar for Africa's development.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.103 | 0.041 |
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".