Bibliographic record
Abstract
As a cultural anthropologist of water, I've walked the river edges of Colón, Veracruz, Amsterdam, Santos, Salvador, Buenos Aires, Kochi, Valparaíso, Singapore, Pisco, Zagreb, and the place at the centre of this book -Winnipeg, Manitoba.Governing the water flowing through all these cities are three basic infrastructural systems -potable water, sewage, and drainage.The systems seem everywhere the same, more or less, each designed to fit, each constructed and operated through an alliance of engineering and law based on geoscience.Before Winnipeg, I would take the fact of this basic sameness as a logistical boon.The tripartite infrastructures functioned like a ready-made script.Against their sameness, I could plot difference; against their leaden materiality, I could put the symbolic into flight.As I went from place to place sketching out grids, I would slip between back stages and front stages.I'd focus indepth participant observation, the essential ethnographic method, in culturally significant and politically active neighbourhood waterfronts and also in the agencies that governed their waters.Fieldwork would unfold, project by project, shared river-city stories would begin speaking to each other in an alchemy of crossing scales, languages, and cultural ecologies.But Winnipeg was a surprise, a puzzle within a puzzle within a puzzle.It's amazing that there is such a vibrant, sophisticated, and arty city sitting in a flood bowl on the northern edge of urbanization.I focused on Winnipeg's state-of-the art flood control system that, like in river cities everywhere, has yet to be redesigned and rebuilt for the intensifying, more frequent, and unpredictable floods already accompanying the climate crisis.Floods present the ultimate engi-
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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 | 0.000 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".