Navigating Class, Gender, and Urban Mobile Spaces: Dissecting Iranian Car Social Spaces in Cinematic Narratives
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
This study scrutinizes the active role of mobile urban spaces in shaping and generating social space. It explores the depiction of car spaces in two Iranian films in their cinematic narratives, symbolic meanings, and influence on the perceptions of urban mobile space, often referred to as third spaces in the urban studies literature. This interdisciplinary paper investigates the socio-cultural manifestations of the car interiors in two hybrid docufiction films: Ten, directed by Abbas Kiarostami, and Taxi, by Jafar Panahi. Built on the new mobilities paradigm’s perspective on the mobile space of cars wherein social space is inevitably produced and re-produced, this paper reveals the socio-cultural dynamics of the car space in the films’ representations. The car space produces subjectivities, exhibits socio-cultural foundations, offers a sense of belonging and place-making, and provides opportunities for informal social interactions, while embodying power dynamics. The central aim is to revise our conceptualizations of mobility spaces by examining spatial practices that revolve around the car spaces. The paper integrates cinematic representation as a resource for planners and social scientists to conceptualize mobility spaces, introducing diegetic cabinography filmmaking style.
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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 | 0.000 | 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 | 0.001 | 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