Writing the Lines of Connection: Unveiling the Strange Language of Urbanization
Bibliographic record
Abstract
Abstract Across urban studies there is an increasing preoccupation with the forms of articulation that link a multiplicity of cities across a region often known as the ‘Global South’. How do cities such as Jakarta, São Paolo, Dakar, Lagos, Mumbai, Hanoi, Beirut, Dubai, Karachi, for example, take note of each other and engage in various transactions with each other in ways that are only weakly mediated by the currently predominant notions of urbanism? What might be the lines of connection and how do different cities recognize and experience the textures of their different histories and characters? Six urbanists are assembled here to write in conversation with each other as a way to embody possible collaborative lines of inquiring about these issues. Résumé Dans la recherche urbaine, se dessine une préoccupation croissante pour les formes d'articulation qui relient une multiplicité de grandes villes dans une région souvent identifiée comme ‘les pays du Sud’. Comment des villes comme Jakarta, São Paolo, Dakar, Lagos, Mumbai, Hanoï, Beyrouth, Dubaï, Karachi, s'intéressent‐elles les unes aux autres et se livrent‐elles à des transactions mutuelles selon des modalités qui ne passent que très rarement par les grandes notions actuelles d'urbanisme? Quelles pourraient être les voies de raccordement et de quelle manière des villes différentes reconnaissent‐elles et appliquent‐elles les contextures diverses nées de leur histoire et de leurs caractères? Six urbanistes se sont réunis pour rendre compte de leur discussion commune de manière à concrétiser des axes possibles d'études en collaboration concernant ces questions.
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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 | 0.002 | 0.001 |
| 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".