Pushing the limits of urban research: Urbanization, pipelines and counter-colonial politics
Bibliographic record
Abstract
This article confronts debates about extended and concentrated urbanization with Indigenous claims to time and space. It does so in part by discussing the degree to which notions of extended and concentrated urbanization allow us to understand the dynamics of pipeline politics in Canada, notably Indigenous claims leveled at infrastructure projects. It argues that Lefebvre-inspired research is both promising and insufficient in this regard. Their promises can only be realized provided one considers urban research as mediation (between everyday life and the social order), contextualize urbanization as a product of non-linear histories through which ‘city’ and ‘non-city’ are transformed or reinstituted as socio-spatial forms, and take seriously imaginaries that may not only contest but also refuse the expansion of the urban field. Meeting these conditions is not possible without resorting to other, non-Lefebvrean approaches that help us understand the settler-colonial aspects of Canadian urban history and grasp the inter-national dimensions of Indigenous politics. Finally, opening up Lefebvre scholarship to considerations of settler colonialism is impossible without the distinct relational theories of time and space that inform radical Indigenous theories (and some pipeline struggles). Indigenous claims in or against urbanization thus represent a limit case of urban research.
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 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 | 0.011 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.015 | 0.103 |
| Scholarly communication | 0.016 | 0.012 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| 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".