THE URBAN PHOTOWALK : Capturing the social dimensions of urban space
Bibliographic record
Abstract
The following research study takes the form of a nomadic and exploritative voyage, centered around the urban photowalk. In an effort to decipher the intricate relationship between people and places—the social and the spatial—the study aims to shed light on the social dimensions of urban photography, in relation to spatial practices within the urban built environment. The research is anchored to a distinct theoretical framework, in which established principles are woven into an exploritative context. On this basis, the study examines the use of walking-based strategies as a toolkit for understanding contemporary urban space as an embodied experience (Careri, 2017). The research also draws on Henri Lefebvre’s notions concerning the right to the city and the production of space, delving into matters of possession, perception and appropriation from a citizen perspective (Purcell, 2002). At the heart of the research lies an empirical field study, carried out in the city of Toronto, Canada through experiential means of observation. The field study comprises a series of participatory photowalks, designed and conducted in order to examine the urban photowalk from a methodological point of view. By implementing Careri’s theories on walking-based strategies, the research seeks to embody the conceivable impacts of photowalking on social and spatial relations, at a human scale; this, in turn, illustrates how the urban photowalk can aid the production of temporary and improvised spaces in public urban settings, in order to catalyze social interaction and communal exchange. In parallel, the study encompasses research on how photowalking can provide a hands-on method, which can be used by city dwellers to take possession of urban public space, as well as claim and distribute their right to the city.
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.
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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".