The Changing Geography of Urban Tourism: Will the Center Hold?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
During the last quarter of a century, urban centers in the United States have invested significant resources to develop a physical infrastructure to support the economic sectors of tourism and leisure. Cities of all sizes in Europe and the U.S. are aggressively promoting tourism and related sectors, and much of this activity is occurring outside the urban core. Using the case of metropolitan Chicago, this paper focuses on the evolving geography of urban tourism by examining how four satellite cities have embraced a strategy of development that mirrors the city of Chicago's strategy. In this paper we argue that, at least in the case of some metropolitan areas in the U.S., tourism development at the urban periphery may compete with and therefore slow the pace of redevelopment at the urban core.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it