Behavioral Mapping and Rhythmanalysis: Spatial and Temporal Patterns of Pedestrian Streets in Hanoi
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
Research on streets and public spaces in general has predominantly relied on systematic observation and behavioral mapping to investigate human behavior and its spatial patterns. This approach, however, often lacks the depth needed, especially in densely populated urban areas of Global South cities, to uncover the intricate social processes and politics that shape people’s behavior and patterns. In response to this limitation, our study takes a multifaceted approach, combining behavioral mapping (through systematic observation data) with rhythmanalysis (using general observation data and in-depth interviews) to study pedestrian streets with a case study in Hanoi, Vietnam. This research contributes to urban geography and urban studies methodology by analyzing the limitations and strengths of behavioral mapping and rhythmanalysis. We call for combining these methods in a way that allows them to complement each other. Such a combination should provide a nuanced and comprehensive understanding of the temporal and social forces that shape everyday life in public spaces.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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