Actors and Vectors: Towards Alternate Histories of the City-Building Process
Bibliographic record
Abstract
Recently, some scholars have thrown two types of challenges to the study of the city-building processes in both “central” and “peripheral” parts of the globe. First, they have called for studies of the actors involved in these processes to account for the full range of local stakeholders, and for all power relations between these actors. Second, a challenge has been made to researchers of the city-building process to include the myriad forms of linkages and vectors of influence and transformation, which are nested into such processes, in their understanding of how cities and their buildings come to be. This essay presents how these double dimensions of a fuller consideration of the city-building process can have a number of methodological implications for researchers in architectural or urban history. Together, these considerations may point to a possible alternate historiographical paradigm that may be emerging, or at least could potentially do so.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.005 | 0.039 |
| Scholarly communication | 0.019 | 0.032 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".