Bibliographic record
Abstract
This edited volume addresses overlooked questions of time and temporality to advocate for a ‘temporal turn’ in critical infrastructure studies. The chapters in the book examine multifaceted temporalities – ranging from long-range planning horizons to the rhythms of everyday life in the city – to build an interdisciplinary dialogue that bridges technical, political-economic, and experiential knowledge of urban infrastructure. With global coverage of cities and regions from Berlin and Toronto to Cairo and Jayapura, the book argues for the conceptual and political significance of emphasizing the social construction and experience of time through infrastructure, as well as the importance of analysing the diversity of temporal codes that infrastructure urbanization processes. Conceptually rich and empirically detailed chapters uncover the complex relationship between radical and incremental change to reveal unexpected pathways of urban and technological transformation. Moments of spectacular infrastructural development and everyday social practices invite readers to rethink self-evident and linear notions of time in and beyond the networked metropolis. By contextualizing infrastructures’ pasts and what they signify about the future, the book generates a multidimensional perspective on ‘infrastructure time’ as a research problematic, an empirical concern, and a methodological approach. In doing so, it forwards an essential provocation to re-evaluate urban theory, politics, and practice to better account for the temporal complexities that shape our infrastructured worlds.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.058 | 0.010 |
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".