Leveraging land-value capture in contexts of urban austerity: evidence from the Grand Paris Express (France)
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
Austerity urbanism has emerged as a powerful concept to explore the political and socio-spatial consequences of cuts in public spending, but interrogations remain regarding public actors’ shifting role in urban production in times of increased budgetary constraints. This article focuses on Land Value Capture (LVC), a financing mechanism that has been gaining traction amongst scholars and practitioners alike. While LVC can be framed as a valuable tool to finance infrastructure provision in times of austerity, we argue that the existing literature has neglected its use by other public actors, for the funding of other urban projects. Indeed, we analysed how different public actors (public landowners, land developers, and local governments) sought to take advantage of the anticipated rise in land value around future stations of the new urban railway system surrounding Paris, the Grand Paris Express. Through an exploration of four case studies, we show that LVC can be a flexible instrument that allows actors to either play into, or mitigate austerity-driven urban policies in French cities.
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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 | 0.001 | 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 | 0.000 |
| 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 it