Planners, others welcome ECA’s push for development corridors in Central Africa
Bibliographic record
Abstract
Transforming Central Africa’s transport corridors into all-encompassing development corridors is crucial for moving to the region’s next development and integration frontier, especially at the dawn of free trade in Africa but it is a more complex proposition which needs continuing engagement with State and non-state parties. The case for reconfiguration of the transport corridors in Central Africa has been made and the added value of the GIS-enabled tools, to go with it, has been demonstrated, said ECA’s Antonio Pedro, while indicating that the study on the reconfiguration of corridors in Central Africa will be finalized by the first quarter of 2021, taking into consideration the inputs received during the 8 December consultation. He added, that the studies will be a key input to the formulation of the Central Africa Regional Industrial Development and Economic Diversification Master Plan (PDIDE-AC) as well as to the review of the PDCT-AC.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.034 | 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".