Relevance of Walking and Informal Activities in Urban Space: A Case of Dar es Salaam City, Tanzania
Bibliographic record
Abstract
The design discourse mostly in developing world cities tends to commit walking as the concern for transportation purpose. This notion tends to dismiss walking as an extended conception of urban space and take it for granted which allow elements of informal walking fields to emerge. This orients walking in the lines of a mere ‘street sidewalk’ rather than an important element in enhancing urban space in terms of environmental quality, access and use of urban space and everyday life realities. The empirical study in Dar es Salaam show that the gap in walking provision seem to be filled by the informal actors in urban space struggling to create the informal walking spheres in which trading, vending, meeting and recreating take place. Such observations draw a lesson that such informal developed urban activities along the streets and the urban space have not been disassociated from walking. The paper recognizes the essence of such integration of walking with other activities in urban space. It is thus concluded that urban design discourse have to conceive walking, including its contextual elements, as integral component in the field of urban public space that connect with other urban functions rather than isolate it from them.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".