Multi-stakeholder dialogue on formal and informal forms of public transport in Harare, Zimbabwe: Convergence or divergence perspective
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
Cities in the developing world are growing both geographically and demographically. Thisgrowth has increased pressure on services, including the public transport systems used bythe majority of people. In the last two decades public transport provision has undergoneconsiderable changes. Concomitant to these changes there has been debate on the formof public transport to be operated. Such debate has been informal, general, and at timesacademic, and therefore not able to provide substantive understanding of the views of keystakeholders. Zimbabwe has had an explosion of informal transport activity in the formof minibuses, and decision makers appear to be in a policy dilemma because of a need tostrike a balance between maximising passenger welfare whilst protecting the livelihoods ofindigenous minibus operators and striving to build an efficient and environmentally soundurban transport system. Critical questions for policy dialogue in this conundrum include,inter alia: How do stakeholders perceive the current public transport system? How can publictransport be sustainably provided? This study seeks to answer these questions using a casestudy of Harare. A qualitative research approach blended with some quantitative aspects wasused. Initial steps involved the identification and clustering of key urban public passengertransport stakeholders, followed by structured and unstructured interviews. Although thereis lack of consensus on the form of public transport that the City of Harare should adopt, thereis a strong view that a mass transit system is the backbone of sustainable public transport.
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 | 0.002 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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