The urban motorcycle taxi sector in Sub-Saharan Africa: needs, practices and equity issues
Bibliographic record
Abstract
Motorcycle taxis in Sub-Saharan Africa are an essential component of the urban transport mix, providing vital services - such as access to markets, education and health facilities - to citty dwellers across the continent. Transport regulators and policymakers have nonetheless remained reluctant to engage with this expanding sector, which seems to be the prefereed mode of transport. Primary data were collected in five Sub-Saharan African countries during the last quarter of 2020 using qualitative interviews with key stakeholders relevant to the urban motorcycle taxi sector and quantitative motorcycle taxi operator surveys. There is a substantial prospect to come up with best practices within this sector by identifying and learning from the experiences of various stakeholders including motorcycle taxi and motor tricycle taxi operators, unions, institutions, traffic police, and users of these services. In additon, the data shows that there are ample opportunities for increased collaboration between the stakeholders, to ensure the sector’s continuos contribution to socio-economic development. Planning for a more sustainable and integrated transport system in Sub-Saharan African cities requires acknowledging the significant position taken up in this by the motorcycle and tricycle taxi.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".