Green Lungs and Green Liberty: The Modern City Park and Public Health in an Urban Metabolic Landscape
Bibliographic record
Abstract
This paper explores processes of urban park creation from the mid-1800s to show how 'green lungs' and 'green liberty' shaped the health geography of the modern city. Tracking this story across a transatlantic canvas (using examples from London, Paris, New York and Montreal), it looks at how ideas around fresh air, exercise and greenery sat within municipal designs for a functional metabolic landscape, what I call somatic urbanism. Plotting the historical contours of the park as a landscape of health has two main uses. First, it usefully connects the worlds of medicine and environment to show how debates about industrialism, modernity, sanitation and social reform found common ground. Second, in a contemporary world where ventilation issues have been highlighted by the coronavirus pandemic and municipal authorities grapple with anthropogenic challenges, it argues that historical studies of health and environment assume a vital importance in shaping the future of sustainable cities.
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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 | 0.001 | 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 | 0.000 | 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) | 0.001 | 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".